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COG-205 - IBM Cognos 8 Controller Technical Specialist - Dump Information

Vendor : IBM
Exam Code : COG-205
Exam Name : IBM Cognos 8 Controller Technical Specialist
Questions and Answers : 47 Q & A
Updated On : December 7, 2018
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COG-205 Questions and Answers

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COG-205 IBM Cognos 8 Controller Technical Specialist

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COG-205 exam Dumps Source : IBM Cognos 8 Controller Technical Specialist

Test Code : COG-205
Test Name : IBM Cognos 8 Controller Technical Specialist
Vendor Name : IBM
Q&A : 47 Real Questions

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IBM IBM Cognos 8 Controller

The influence On IBM i Of huge Blue’s Acquisition Of crimson Hat | killexams.com Real Questions and Pass4sure dumps

October 31, 2018 Timothy Prickett Morgan

neatly, we will honestly say that we didn't see that coming when IBM and pink Hat announced late final Sunday afternoon that big Blue would be shelling out $34 billion to acquire the world’s most a success company that peddles assist for open supply infrastructure software.

satirically, on the time I happened to be writing about how IBM and crimson Hat had just introduced that they had brought the OpenShift Container Platform, a mashup of Docker and Kubernetes, to energy programs machines operating Linux, and i become lamenting that it turned into no longer trivial to determine a way to integrate this application with the IBM i platform. I had some ideas, as I often do. IBM had a greater direct one, and that's to purchase crimson Hat outright for this sort of excessive premium – 62.8 p.c above the $20.fifty three billion market value that Wall street had valued red Hat at on the Friday earlier than the information broke – that it probably will now not see competitive bidders try to swoop in and steal its new hat.

here is an incredible amount of money for IBM to blow on an acquisition – virtually 10 instances what it paid for Lotus building Corp in 1995 to get the Domino platform, forty six times what it paid for Tivoli system’s Netfinity device management equipment, and 7 instances that it paid for Cognos for its information analytics equipment returned in 2008. Pricewaterhouse Coopers Consulting, the first massive deal that Ginni Rometty, IBM’s present president, chief government officer, and chairman, took down in 2002, charge $three.5 billion and significantly added to what IBM world features might do. Rational utility in 2003 can charge IBM one more $2.1 billion. if you add the entire huge offers that IBM has performed considering 2000 and possibly the small ones, too, it likely does not exceed $34 billion. So if IBM is blowing its money and borrowing towards its credit score strains and stopping its share buybacks in 2020 and 2021 to pay for purple Hat, you must determine it's relatively critical.

lethal serious, really. Rometty should do some thing that is coherent to the IT sector at massive and that offers her a long-lasting legacy on pointing IBM towards a future that provide sit an opportunity to be a much bigger participant in IT, no longer one that is steadily enshrinkening itself by way of divestitures and modern profits declines. The acquisition also gives IBM a comparatively finished infrastructure platform that can run by itself energy systems and gadget z servers as well as the X86 servers which are sold with the aid of its many competitors.

red Hat’s business Linux is standard to more than a couple of IBM i retail outlets, and is via a ways the dominant Linux distribution in the enterprise. it's doubtless probably the most generic Linux on earth, if you include the hundreds of thousands of shoppers the usage of RHEL as well as its CentOS clone, which the enterprise got just a few years returned. Our guess is that there are around 2 million machines on this planet working RHEL and perhaps another 2 million working CentOS. in case you count number up all the homegrown Linux cases in use through seven of the tremendous Eight hyperscalers and cloud builders – Google, Amazon, no longer Microsoft very much, and facebook in the u.s. and Alibaba, Baidu, Tencent, and China cell in China – there's doubtless effectively a different 10 million to 12 million Linux servers in that combine, and including the entire supercomputing and technical computing that runs on Linux other than RHEL and CentOS plus the element of company datacenters it really is additionally not controlled by red Hat doubtless provide you with whatever around 1 million machines. That gives Linux about a third of the installed base of 45 million servers on earth, with the remainder primarily operating home windows Server. if you add up all of the servers on this planet running IBM i, AIX, and z/OS plus some other working system you can feel of (there aren’t many options left), that's doubtless somewhere round 1 million machines. Tops.

there is a explanation why Microsoft is still rich. And this is it.

Now, IBM has put itself lower back into rivalry with Microsoft, and that's doubtless a superb issue for its long-time period monetary health. whereas we're obsessed with IBM’s efforts to promote greater Linux on power systems for modern workloads – the entire new and interesting simulation, modeling, machine discovering, and analytics application is at all times developed on Linux systems, and so are container systems for microservices vogue purposes – there is no approach that IBM may ever have constructed up the sort of company purple Hat has done by pushing the Linuxes of others on its iron. I did an in depth analysis of the financials of the deal over at the subsequent Platform, so if you are looking to see that, just hit the link. What you need to examine here in IBM i Land is what the acquisition capability for vigor systems in general and IBM i in particular, and as I spoke of ultimate week, how IBM will do a far better job integrating red Hat’s stacks with IBM – without disrupting issues.

despite what Rometty and Jim Whitehurst, pink Hat’s chief government officer, stated throughout their conference call on Wall road going over the deal, where they each proclaimed there is not any overlap in products from the two agencies, here's strictly not actual and notwithstanding there isn't overlap, there definitely is competitors. If even IBM doesn’t knock out its personal items with those from red Hat, it might suggest that construction on the native IBM items slows or even stalls out.

Let’s take a few circumstances appropriate here and now so you see my aspect:

  • red Hat has its own OpenStack distribution, referred to as OpenStack Platform; and IBM has its personal called PowerVC.
  • pink Hat has a Docker container orchestration platform known as OpenShift; and IBM has IBM Cloud inner most, as we discussed closing week.
  • purple Hat has a multicloud administration stack that works at the digital laptop level and can be extended to containers with OpenShift on correct of it referred to as Cloud forms; IBM has its new IBM Multicloud manager for containers and has a slew of virtualization management equipment that it has offered over the years.
  • IBM sells AIX and IBM i on power systems and z/OS and different operating methods on its equipment z mainframes; Linux money owed for the majority of potential bought on mainframes at the moment and has for years, and Linux is turning out to be on energy systems as a percentage of capacity offered. this is oblique competition, intellect you, but there you've got it.
  • red Hat sells JBoss Java utility middleware, and it makes a lot of dough; IBM has WebSphere Java utility middleware and it makes a lot of dough.
  • pink Hat has the Gluster parallel file gadget and the Ceph object and block storage device; IBM has Spectrum Scale (previously the conventional Parallel File equipment or GPFS) and Cloud Object Storage out on the IBM Cloud.
  • purple Hat does not have plenty within the manner of relational database administration programs; IBM has Db2 in its a number of guises. both peddle open supply databases and datastores from the open source neighborhood.
  • IBM sells SUSE Linux commercial enterprise Server and Canonical Ubuntu Server on power systems and equipment z mainframes.
  • crimson Hat sells JBoss Developer Studio; IBM sells Rational Developer.
  • I don’t claim that here's an exhaustive record, but it surely hits the large conflicts and overlaps and it most actually is a non-zero number. IBM has committed to leaving pink Hat extra or less alone, in a “diverse” division the place Whitehurst studies directly to Rometty, and constituents of purple Hat’s may be suggested in its Hybrid Cloud division and different ingredients in international capabilities, curiously. So there goes any visibility into what purple Hat is really doing once this deal closes. but the true difficulty isn't so a lot that IBM should be tempted to movement companies from its personal types of infrastructure application to the red Hat versions, or even wholesale off IBM i and AIX to Linux on power with Db2 behind it. We don’t consider IBM will do that, at least no longer for just a few years after purple Hat’s business has been built-in and maybe large chunks of its infrastructure utility. Our difficulty is extra that IBM will now not fund development in its own wares, and that AIX and IBM i retail outlets will see software tools that they use whither from forget.

    this is no longer the rest any of us deserve to be anxious about for now, mainly with the deal probably now not closing for the stronger a part of a yr. but it is important to preserve a watch on what IBM does with crimson Hat and what it doesn’t do with its own tools. and that is what we can do. it's why you maintain us around, in spite of everything.

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    IBM launches Cognos 8 V4 – new enterprise-driven PM utility | killexams.com Real Questions and Pass4sure dumps

    October 6, 2008 • commercial enterprise

    Cognos, an IBM enterprise that grants enterprise intelligence and performance administration options, has unveiled IBM Cognos eight v4 which extends IBM’s advice on Demand strategy to help consumers improve their capacity to engage the enterprise consumer via a more dynamic and interactive experience, inform their resolution making with improved context and relevance and align their approach and operations via comprehensive visibility to pursuits, plans, forecasts and metrics throughout finance and operations.

    IBM Cognos 8 v4 lets organisations readily and securely extend entry to trusted information to entirely interact a various group of personnel, consumers and partners across financial and operational divisions and tactics.Richer BI and performance management user capabilities akin to enterprise planning, dashboards, analytics and reporting combine with an enhanced business-type platform, flexible enterprise modeling, and customer-oriented interfaces to help enterprise clients gain access and engage with the correct information necessary for determination making to optimise company efficiency.

    informal enterprise clients, enterprise managers, and executives in all sizes of organizations are grappling with tips overload and the speedy tempo of change in today’s globally linked economic climate. These types of enterprise users signify eighty% of worker's in ordinary corporations, in line with Wayne Eckerson, director of TDWI research on the records Warehousing Institute.* They want quick access to valuable information, even if they are in the office or on the road, to make suggested selections that improve financial and operational visibility and force overall performance.

    New self-serve flash-based mostly dashboard, mobile and search capabilities in IBM Cognos 8 v4 assist enterprise clients straight away force selections through flexible, purchaser-oriented interfaces that let them access and engage with valuable efficiency counsel using widespread functions or gadgets. These consist of BlackBerry, Symbian or home windows mobile instruments, enterprise search engines like google and yahoo or desktop productivity purposes.

    The debut of IBM Cognos eight enterprise perspective introduces new move-practical business modelling capabilities to support business users and IT collaborate.enterprise users outline a shared illustration of how their business information should still be structured and seen to power selections in a workflow atmosphere without disruption to the downstream methods which might be governed by way of IT. These capabilities let economic analysts, line and company managers, or data stewards retain, govern and share hierarchies and business views based on their personal organisational preferences whereas the IT department retains manage over how accredited alterations are posted and used.

    consumers can further align enterprise operations, advanced analytics and strategic plans throughout the supplier through the use of IBM Cognos Now! and IBM Cognos TM1 as trusted facts sources for IBM Cognos eight BI and Planning. Key metrics from the continual business monitoring of operational metrics can effectively be brought to a personalised company dashboard along with key constituents of company reports which are pertinent to a selected line of business. Newly up to date enterprise planning capabilities blend both planning and analysis elements to assist increase the productiveness and accuracy of planners in the planning process. Planners can also construct persistent views of the company to provide multiplied context for forecast facts entry.

    These stronger person capabilities are supported by new options and up to date knowledgeable functions, training, and aid choices to further accelerate customer success. today, Cognos has also delivered IBM Cognos eight monetary efficiency Analytics which is the newest addition to the Cognos’household of Analytic applications. it is designed to give companies with quick, actionable insights into financial efficiency the use of utterly-configurable reports for typical ledger, receivables and payables analysis.

    New enhancements to the Cognos eight business-classification platform assist enterprise clients gain advantageous context from the suggestions they obtain, and gives the IT branch with streamlined construction and management capabilities:

    entry to the capabilities of business glossary, part of the IBM InfoSphere portfolio, which offers business users with access from each record to an enterprise dictionary for consistent interpretation of described terms reminiscent of “gross margin” or “consumer” and stewardship suggestions it is used to aid govern the statistics they are taking a look at.

    aid for annotations lets clients add ideas, choices and comments to stories and charts to give additional perception into the counsel for reviewers.

    document authors or statistics modelers can now view business lineage of where the data become sourced for reviews, or view the whole facts supply chain by way of linking to third party metadata providers or by way of pre-constructed integration with InfoSphere counsel Server for conclusion-to-end information lineage. This helps these users keep in mind where the facts got here from, and provides report authors and facts modelers with streamlined document design and troubleshooting.

    a new gadget management methodology gives technical whitepapers, pattern reviews, fashions and equipment to assist gadget administrators continuously increase how deployments are managed via accelerating the implementation of confirmed practices.

    greater support of IBM InfoSphere Warehouse through addition of InfoSphere cubing services as a data source expands the electricity of the IBM Cognos OLAP portfolio by using giving consumers a complete. spectrum of OLAP expertise to address their breadth of needs

    New metadata integration with Rational records Architect allows those purchasers who model their facts during this method to effortlessly integrate that work devoid of duplication of effort.supporting charges

    “personnel and government administration inside all sizes of enterprises are challenged to enhance company efficiency in the course of the strategic use of tips, but they don’t have time or supplies to sift via mountains of information to pinpoint what's critical,” says David McWilliam, MD at Cognos South Africa, an IBM business. “Cognos 8 v4 empowers the business by means of connecting agile, optimised financial and operational enterprise processes and aligning, enticing and informing personnel with mission-important tips that drives helpful decision-making for pervasive performance administration throughout the supplier.”

    AvailabilityThe consumer capabilities, enterprise platform and linked proven practice solutions surrounding IBM Cognos 8 v4 should be obtainable in this autumn, 2008 direct from Cognos, an IBM company or its network of resellers.

    IBM Cognos eight v4 is a key component of IBM’s tips Agenda, a new strategy which includes trade-particular application and consulting features geared to assisting shoppers use suggestions on demand as a strategic asset across their corporations.

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    splendid Clips Selects IBM Cognos 8 business Intelligence utility | killexams.com Real Questions and Pass4sure dumps

    Cognos, an IBM company, a provider in enterprise intelligence and performance management options, recently introduced that extremely good Clips has selected IBM Cognos 8 enterprise Intelligence (BI) as its general to streamline operational reporting and analysis. 

    With over 2600 areas, extremely good Clips is the greatest franchised salon brand in North the usa. The business desired to enhanced assist salon operations by automating its reporting and analysis tactics and providing company users with multiplied access to performance assistance via self-provider capabilities. this will provide the chain more desirable visibility into salon performance, franchise operations, place openings, promoting effectiveness, business trends and its client base.

    With over 2600 places, high-quality Clips is the greatest franchised salon company in North america. The enterprise desired to more advantageous help salon operations through automating its reporting and analysis strategies and proposing business clients with improved access to efficiency assistance through self-service capabilities. this may provide the chain greater visibility into salon efficiency, franchise operations, region openings, promotion effectiveness, enterprise traits and its client base.

    To streamline these efforts, remarkable Clips conducted a complete aggressive evaluation to find a BI answer with mighty business reporting capabilities that have been convenient to make use of and retain. IBM Cognos 8 BI turned into selected to combine with exceptional Clips’ Microsoft environment and seamlessly pull information from a number of disparate sources including the company’s monetary, human supplies, franchise, legal, and aspect of Sale (PoS) methods.

    “Our strategy is to buy flexible, best-in-type functions that require minimal upkeep install at once and provides managers effortless-to-use ‘self-serve’ capabilities,” spoke of Kathy Wetzel, Vice-President, IT, awesome Clips. “With Cognos we will cut back reporting and analysis efforts and enrich facts consistency and accuracy, which will provide our operations and franchising managers the insight obligatory to make better selections. We predict to see a quick payback on our investment readily from freeing our company clients from guide evaluation.”

    This BeyeNETWORK news merchandise incorporates information from a recent press unencumber by means of the business mentioned.


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    Outliers and coexistence are the new normal for big data | killexams.com real questions and Pass4sure dumps

    Letting data speak for itself through analysis of entire data sets is eclipsing modeling from subsets. In the past, all too often what were once disregarded as “outliers” on the far edges of a data model turned out to be the telltale signs of a micro-trend that became a major event. To enable this advanced analytics and integrate in real-time with operational processes, companies and public sector organizations are evolving their enterprise architectures to incorporate new tools and approaches.

    Whether you prefer “big,” “very large,” “extremely large,” “extreme,” “total,” or another adjective for the “X” in the “X Data” umbrella term, what’s important is accelerated growth in three dimensions: volume, complexity and speed.

    Big data is not without its limitations. Many organizations need to revisit business processes, solve data silo challenges, and invest in visualization and collaboration tools to make big data understandable and actionable across an extended organization.

    “Sampling is dead”

    When complete huge data volumes can be processed and analyzed at scale, “sampling is dead,” says Abhishek Mehta, former Bank of America (BofA) managing director and Tresata co-founder, and speaker at last year’s Hadoop World. Potential applications include risk default analysis of every loan in a bank’s portfolio and analysis of granular data for targeted advertising.

    The BofA corporate investments group adopted a SAS high performance risk management solution together with IBM BladeCenter grid and XIV storage to power credit-risk modeling, scoring and loss forecasting. As explained in a recent call with the SAS high-performance computing team, this new enterprise risk management system reduced calculation times at BofA for forecasting the probability of loan defaults from 96 hours to four hours. In addition to speeding up loan processing and hedging decisions, Bank of America can aggregate bottom-up data from individual loans for perhaps a more accurate picture of total risk than what was possible previously by testing models on just subsets of data.

    nPario holds an exclusive license from Yahoo for technology based on columnar storage that within Yahoo’s internal infrastructure handles over eight petabytes of data for advertising and promotion, per a February 2011 discussion with nPario President and CEO Bassel Y. Ojjeh. nPario has basically forked the code, so that Yahoo can continue their internal use while nPario goes to market with a commercial offering for external customers. The nPario technology enables analysis at the granular level, not just at aggregate or sampled data. In addition to supporting a range of other data sources, nPario offers full integration with Adobe Omniture, including APIs that can pull data from Omniture (although Omniture charges a fee for this download).

    Electronic Arts uses nPario for an “insight’s suite” that details how gamers engage with advertising. The nPario-powered EA analytics suite tracks clicks, impressions, demographic profiles, social media buzz and other data across EA’s online, console game, mobile and social channels. The result is a much more precise understanding of consumer intent and ability to micro-target ads, over what was previously possible either with sampled data or with data limited to just online or shrink-wrapped and not across the complete range of EA’s customer engagement.

    Multiple big data technologies coexist in many enterprise architectures

    CoexistenceIn many cases, organizations will use a mix-and-match combination of relational database management systems (RDBMS), Hadoop/MapReduce, R, columnar databases such as HP Vertica or ParAccel, or document-oriented databases. Also, there is growing adoption this year beyond just the financial services industry and government for complex event processing (CEP) and related real-time or near-real-time technologies to take action from web, IT, sensor and other streaming data.

    At the same time that cost-effective, fast tools to analyze huge data sets are making data sampling a thing of the past, coexistence is quickly becoming the new normal for big data infrastructure and service architectures. For many enterprises and public sector organizations, the focus is “the right tool for the job” to manage structured, unstructured and semi-relational data from disparate sources. While infrastructure coexistence is hardly new — one could argue that it’s as old as the technology industry itself — what is becoming significantly more commonplace, and hence a “new normal”, is the integration of Hadoop/MapReduce, CEP, “NoSQL”, and other database and data streaming variants as extensions of existing relational-based enterprise data warehouses (EDWs). A few examples:

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  • AOL Advertising integrated two data management systems: one optimized for high-throughput data analysis (the “analytics” system), the other for low-latency random access (the “transactional” system). After evaluating alternatives, AOL Advertising combined Cloudera Distribution for Apache Hadoop (CDH) with Membase (now Couchbase). This pairs Hadoop’s capability for handling large, complex data volumes with Membase’s capability for speed for sub-millisecond latency in making optimized decisions for real-time ad placement.
  • At LinkedIn, to power large-scale data computations of more than 100 billion relationships a day and low-latency site serving, they use a combination of Hadoop to process massive batch workloads, Project Voldemort, for a NoSQL key/value storage engine, and the Azkaban open-source workflow system. Further, they developed a real-time, persistent messaging system named Kafka for log aggregation and activity processing.
  • The Walt Disney Co. Technology Shared Services Group extended its existing data warehouse architecture with a Hadoop cluster to provide an integration mashup for diverse departmental data, most of which is stored separately by Disney’s many business units and subsidiaries. With a Hadoop cluster that went into production for shared service internal business units last October, this data can now be analyzed for patterns across different but connected customer activities, such as attendance at a theme park, purchases from Disney stores, and viewership of Disney’s cable television programming. (Disney case study summarized from PricewaterhouseCoopers, Technology Forecast, Big Data issue, 2010).
  • Centralization and coexistence at eBay

    Even companies whose enterprise architecture more closely aligns with the enterprise data warehouse (EDW) vision associated with Bill Inmon than the federated model popularized by Ralph Kimball are finding themselves migrating their architectures toward greater coexistence to empower business growth. eBay offers an instructive example.

    “A data mart can’t be cheap enough to justify its existence,” says Oliver Ratzesberger, eBay’s senior director of architecture and operations. eBay has migrated to coexistence architecture featuring Teradata as the core EDW, Teradata offshoot named Singularity for behavioral analysis and clickstream semi-relational data, and Hadoop for image processing and deep data mining. All three store multiple petabytes of data.

    Named after Ray Kurzweil’s thought-provoking book “The Singularity is Near,” the Singularity system at eBay is running production for managing and analyzing semi-relational data, using the same Teradata SQL user interfaces that are already widely understood and liked by many eBay staff. eBay’s Hadoop instances still require separate management tools, and to date, still come with fewer capabilities for workload management than what eBay receives with its Teradata architecture.

    Using this tripartite architecture, on eBay’s consumer online marketplace, there are no static pages. Every page is dynamic, and many if not yet all ads are individualized. These technical innovations at eBay are helping to empower eBay’s corporate resurgence, as highlighted in the March 2011 Harvard Business Review “How eBay Developed a Culture of Experimentation” interview with eBay CEO John Donahoe.

    Coexistence at Bank of America

    Bank of America operates a Teradata data warehouse architecture with Hadoop, R and columnar extensions along with: IBM Cognos business intelligence, InfoSphere Foundation Tools and InfoSphere DataStage; Tableau reporting; SAP global ERP reporting system; and Cisco telepresence for internal collaboration; among other technologies and systems.

    R-specialist Revolution Analytics cites a Bank of America reference. In it, Mike King, a quantitative analyst at Bank of America, describes how he uses R to write programs for capital adequacy modeling, decision systems design and predictive analytics:

    R allows you to take otherwise overwhelmingly complex data and view it in such a way that, all of a sudden, the choice becomes more intuitive because you can picture what it looks like. Once you have that visual image of the data in your mind, it’s easier to pick the most appropriate quantitative techniques.

    While Revolution Analytics is sponsoring a SAS to R Challenge for SAS customers to consider converting to R, coexistence between enterprise-grade software such as SAS and emerging tools such as R, is a more common outcome than a replacement or cutback in the number of current or future SAS licenses, as shown by Bank of America’s recent investment described above in the SAS risk management offering.

    For its part, SAS indicates that SAS/IML Studio (formerly known as SAS Stat Studio) provides one existing capability to interface with the R language. According to Radhika Kulkarni, vice president of advanced analytics at SAS, in a discussion about SAS-R integration on the SAS website: “We are busy working on an R interface that can be surfaced in the SAS server or via other SAS clients. In the future, users will be able to interface with R through the IML procedure.”

    To quote Bob Rodriguez, senior director of statistical development at SAS, from that website discussion: “R is a leading language for developing new statistical methods. Our new PhD developers learned R in their graduate programs and are quite versed in it.” The SAS article added that: “Both R and SAS are here to stay, and finding ways to make them work better with each other is in the best interests of our customers.”

    Recent evolutions in big data vendors

    As 10gen CEO and co-founder Dwight Merriman and new President Max Schireson described in a call March 8: “There have been periodic rebellions against the RDBMS.” Intuit’s small business division uses document-oriented MongoDB from 10gen for real-time tracking of website user engagement and user activities. Document-oriented CouchDB supporter CouchOne merged with key value store and memcached specialist Membase to form Couchbase; their customers include AOL and social gaming leader Zynga.

    Customers had asked DataStax (previously named Riptano) for a roadmap for integrated Cassandra and Hadoop management, per an O’Reilly Strata conference discussion with DataStax CEO and co-founder Matt Pfeil and products VP Ben Werther. In March 2011, DataStax announced the Brisk integrated Hadoop, Hive and Cassandra platform, to support high-volume, high-velocity websites and complex event processing, among other applications that require real-time or near-real-time processing. According to DataStax VP of Products Ben Werther in a March 29 email: “Cassandra is at the core of Brisk and eliminates the need for HBase because it natively provides low-latency access and everything you’d get in HBase without the complexity.”

    Originating at Facebook and with commercial backing from DataStax, Cassandra is in use at Cisco, Facebook, Ooyala, Rackspace/Cloudkick, SimpleGeo, Twitter and other organizations that have large, active data sets. It’s basically a BigTable data model running on an Amazon Dynamo like infrastructure. DataStax’s largest Cassandra production cluster has more than 700 nodes. Cloudkick, acquired by Rackspace, offers a good discussion of their selection process that led to use of Cassandra: 4 months with Cassandra, a love story.

    While EMC/Greenplum and Teradata/Aster Data started with PostgreSQL and moved forward from there, EnterpriseDB has continued to incorporate PostgreSQL updates. EnterpriseDB CEO Ed Boyajian and VP Karen Tegan Padir explained in a call last month that while much of the PostgreSQL initial work was to build databases for sophisticated users, EnterpriseDB has done more to improve manageability and ease of use, including a 1-click installer for PostgreSQL similar to Red Hat installer for Linux. EnterpriseDB envisions becoming for PostgreSQL what Cloudera has become for Hadoop: an integrated solution provider aimed a commercial, enterprise and public-sector accounts.

    MicroStrategy is one of Cloudera‘s key partners for visualization and collaboration, and Informatica is quickly becoming a strong partner for ETL. To speed up what can be slow transfers in ODBC, Cloudera is building an optimized version of Sqoop. Flume agents support CEP applications, but it’s not a big use case yet for Hadoop, per a call in February with Dr. Amr Awadallah, co-founder and VP of engineering, and marketing VP John Kreisa.

    The following are additional examples of big data integration and coexistence efforts based on phone and in-person discussions with vendor executives in February and March 2011:

  • Adobe acquired data management platform vendor Demdex to integrate with Omniture in the Adobe Online Marketing Suite. Demdex helps advertisers shift dollars and focus from buying content-driven placements to buying specific audiences.
  • Appistry extended its CloudIQ Storage with a Hadoop edition and partnership with Accenture for a Cloud MapReduce offering for private clouds. This joint offering runs MapReduce jobs on top of the Appistry CloudIQ Platform for behind-the-firewall corporate applications.
  • Together with its siblings Cassandra and Project Voldemort, Riak is an Amazon.com Dynamo-inspired database that Comcast, Mozilla and others use to prototype, test and deploy applications, with commercial support and services from Basho Technologies.
  • At CloudScale, CEO Bill McColl and his team offer a platform to help developers create applications designed for real-time distributed architectures.
  • Clustrix‘s clustered database system looks like a MySQL database “on the wire,” but without MySQL code, to combine key-value stores with relational database functionality, with a focus on online transaction processing (OLTP) applications.
  • Concurrent supports an open source abstraction for MapReduce called Cascading that allows applications to integrate with Hadoop through Java API.
  • Within an enterprise and extending to its SaaS or social media data, Coveo offer integrated search tools for finding information quickly. For example, a Coveo user can search Microsoft SharePoint files or pull up data from Salesforce.com all from within her Outlook email browser.
  • Germany-based Exasol added a bulk-loader and increased integration capabilities for SAP clients.
  • Yale’s Daniel Abadi and several of his colleagues unveiled Hadapt to run large and ad-hoc SQL queries with high velocity on both structured and unstructured data in Hadoop, to commercialize a project that began in the Yale computer science department.
  • IBM Netezza has partnered with R specialist Revolution Analytics to add built-in R capabilities to the IBM Netezza TwinFin Data Warehouse Appliance. While Revolution Analytics has challenged SAS, they see more of a partner model with IBM Netezza and IBM SPSS. This may in part reflect the work career of Revolution Analytics President and CEO Norman Nie; prior to his current role, he co-invented SPSS.
  • Mapr targets speeding up Hadoop/MapReduce through a proprietary replacement for HDFS that can integrate with the rest Apache Hadoop ecosystem. (For a backgrounder on that ecosystem, refer to Meet the Big Data Equivalent of the LAMP Stack).
  • MarkLogic offers a purpose-built database using an XML data model for unstructured information for Simon & Schuster, Pearson Education, Boeing, the U.S. Federal Aviation Administration and other customers.
  • Microsoft Dryad offers a programming model to write parallel and distributed programs to scale from a small cluster to a large data center.
  • Pentaho offers an open source BI suite integrating capabilities for ETL, reporting, OLAP analysis, dashboards and data mining.
  • With its SpringSource and Wavemaker acquisitions, VMware is offering and expanding a suite of tools for developers to program applications that take advantage of virtualized cloud delivery environments. VMware’s cloud application strategy is to empower developers to run modern applications that share information with underlying infrastructure to maximize performance, quality of service and infrastructure utilization. This extends VMware’s virtualization business farther up into the software development lifecycle and provides incremental revenue for VMware while VMware positions itself for desktop virtualization to take off.

    Data in the cloud

    Data in cloudCloud computing and big data technologies overlap. As Judith Hurwitz at Hurwitz & Associates explained in a call on February 22: “Amazon has definitely blazed the trail as the pioneer for compute services.” Amazon found they had extra capacity and started renting it out, but with little or no service level guarantees, and then from 2006 on invested in dedicated infrastructure to serve external customers for Amazon Web Services (AWS). In general, AWS has competed on pricing and self-service provisioning, which suits start-ups and enterprise departmental needs well, but without many of the more stringent service level agreements (SLAs) sought by corporate IT departments.

    Based on Big Table and other Google technologies, Fusion Tables are a service for managing large collections of tabular data in the cloud, as explained in a conversation this month with Dr. Alon Halevy, head of the Structured Data Group at Google Research. You can upload tables of up to 100MB and share them with collaborators, or make them public. You can apply filters and aggregation to your data, visualize it on maps and other charts, merge data from multiple tables, and export it to the web or csv files. You can access Fusion Tables via a web user interface or API, and Google offers examples to help you get started.

    As Judith Hurwitz discussed, the data in the cloud market is starting to bifurcate. Private clouds are advancing the enterprise shared services model with workload management, self-provisioning and other automation of shared services. IBM, Unisys, Microsoft Azure, HP, NaviSite (Time Warner) and others have begun offering enterprise-grade services. While data in Amazon is pretty portable — most services link with Amazon — many APIs and tools are still specific to one environment, or reflect important dependencies, e.g., Microsoft Azure basically assumes a .Net infrastructure.

    At the 1000 Genomes Project, medical researchers are benefiting from a cloud architecture to access data for genomics research, including the ability to download a public dataset through Amazon Web Services. For medical researchers on limited budgets, using the cloud capacity for analytics can save investment dollars. However, Amazon pricing can be deceptive as CPU hours can add up to quite a lot of money over time. To speed data transfers from the cloud, the project participants are using Aspera and its fasp protocol.

    The University of Washington, Monterey Bay Aquarium Research Institute and Microsoft have collaborated on Project Trident to provide a scientific workflow workbench for oceanography. Trident, implemented with Windows Workflow Foundation, .NET, Silverlight and other Microsoft technologies, allows scientists to explore and visualize oceanographic data in real-time. They can use Trident to compose, run and catalog oceanography experiments from any web browser.

    Pervasive DataCloud adds a data services layer to Amazon Web Services for integration and transformation capabilities. An enterprise with multiple CRM systems can synchronize application data from Oracle/Siebel, Salesforce.com and Force.com partner applications within a Pervasive DataCloud2 process. They can then use the feeds from that DataCloud process to power executive dashboards or business analytics. Likewise, an enterprise with Salesforce.com data can use DataCloud2 to synch with an on-premise relational database, or synch data between Salesforce.com and Intuit QuickBooks accounting software.

    Big data jobs

    All of this activity is welcome news for software engineers and other technical staff whose jobs may have been affected by overseas outsourcing. The monthly Hadoop user group meetups at the Yahoo campus now feature hundreds of attendees and even some job offers: many big data mega vendors and startups are hiring. For example, while Yahoo ended its own distribution of Hadoop, it has some interesting work underway with its Cloud Data Platform and Services including job openings there.

    Cloudera counts 85 employees and continues to hire. Cloudera’s Hadoop training courses are consistently sold out, including big demand from public sector organizations; the venture capital arm of the CIA, In-Q-Tel, became a Cloudera investor last month.

    Recognizing big data’s limits

    To temper enthusiasm just a bit, 2011 is also a good time for a reality check to put big data into perspective. To benefit from big data, many enterprises and public sector organizations need to revisit business processes, solve data silo challenges, and invest in visualization and collaboration tools to help make big data understandable and actionable across an extended organization. Visualization tools are helpful, but only in combination with collaboration tools that enable discussion of data sources, context and implications, and in some cases correction of misleading data, as Paul Miller discusses in an article on GigaOM Pro (subscription or free trial required).

    Many leaders in managing and benefiting from big data are finding it beneficial to hire and develop staff with “T-shaped” skills that combine deep technical experience (the T’s vertical line) and wide business skills (the T’s horizontal line). For example, the phrase a “new normal” in this article’s title refers to periodic phases in ongoing technology and marketplace trends, not to isolation of statistical error in repeated measured data (normalization from a mathematics perspective) or organization of data to minimize redundancy (normalization from a RDBMS perspective). Staff with T-shaped skills can “talk these different languages” to collaborate productively with colleagues, partners and customers who work in business, technology, statistics and other roles.

    Big data applications such as risk management software will not by themselves prevent the next sub-prime mortgage meltdown or the previous generation’s savings and loan industry crisis. Decision-makers at financial institutions will need to make the right risk decisions, and regulatory oversight such as the new Basel rules for minimum capital requirements may play an important role too. And big data raises a number of important concerns for data privacy and ownership of data.

    For more on big data technology and business trends, including a longer discussion on big data opportunities and limitations, take a look at my recently published Putting Big Data to Work: Opportunities for Enterprises report on GigaOM Pro.


  • Container Security Devices and Their Tariff Treatment | killexams.com real questions and Pass4sure dumps

    By MarEx 2011-04-25 11:18:52

    Op Ed by Dr. Jim Giermanski

    Take HTSUS 9803.00.50 and subtract HTSUS 8526.91. Then add 19 U.S.C 1322(a) to 19 U.S.C 1041.a. from which you subtract the sum of the first HTSUS computation.  Now divide HQ044900 by HQ116684.  Take the quotient and multiply it by 10.41a(a)(2) from which you subtract your social security number.  Now you know the Mexican Customs treatment of  Container Security Devices (CSDs) used in containers that are Instruments of International Traffic.(1)

    Now that I have your attention, you should not take my word only on this subject since I'm not an expert in this area, nor a licensed U.S. Customs Broker.  Instead, I hope the reader uses this analysis as a basis for discussing the tariff treatment of container security devices (CSDs) with Customs officials, a practicing U.S. Customs Broker, or a lawyer involved in Customs matters.  In many ways, the issue is quite clear, except in North America. 

    Customs Convention on Containers, 1972

    The definitive international guidance and basis for CBP decisions on this question is provided by the Customs Convention on Containers (CCC) of 1972.  The Customs Convention on Container of 1972, went into effect in 1975 terminating and replacing the 1956 Container Convention and set new rules for the treatment of containers moving in global commerce.  The CCC became the worldwide standard for the Customs treatment of containers by those nations, signing, ratifying, accepting or adhering to it.  Additionally, and without any attention in doing so, the CCC is very specific with respect to signaling the tariff treatment of CSDs well before CSDs were manufactured and utilized.  The obvious rationale for a treaty on containers is for nations to be consistent in their definition and treatment of containers as the instruments that merely carry the goods to a nation, not to be classified or entered as products themselves into the domestic commerce of that nation to which they merely carry the cargo.Article 1, Section C, of the CCC defines a container:

    the term "container" shall mean an article of transport equipment (lift-van, movable tank or other similar  structure);(i) fully or partially enclosed to constitute a compartment intended for containinggoods;(ii) of a permanent character and accordingly strong enough to be suitable forrepeated use;(iii) specially designed to facilitate the carriage of goods, by one or more modesof transport, without intermediate reloading;(iv) designed for ready handling, particularly when being transferred from onemode of transport to another;(v) designed to be easy to fill and to empty; and(vi) having an internal volume of one cubic metre or more;

    It also defines indirectly a CSD which is a part of the in-bound container:

    the term "container" shall include the accessories and equipment of the container, appropriate for the type concerned, provided that such accessories and equipment are carried with the container.  The term "container" shall not include vehicles, accessories or spare parts of vehicles, or packaging.  Demountable bodies, are to be treated as containers;... (2)

    Article 10, paragraph 1, also discloses that: Temporary admission shall be granted to component parts intended for the repair of temporarily admitted containers (3).   Containers, then, as defined by the CCC are un-motorized holders of substantial cargo.  In the United States containers are specified as Instruments of International Traffic (IIT) by the Department of Homeland Security (DHS) which uses the CCC as its source and basis for this classification.  However, each nation can include other definitions of containers and still be consistent with the CCC.  In fact, the Secretary of the Department of Homeland Security may except the applications of Customs law on ...Lift vans, cargo vans, shipping tanks, skids, pallets, caul board, and cores for textile fabrics... which have all been ...explicitly classified as Instruments of International Traffic (4).  CSDs, however, although not classified as IITs, can be classified as accessories of IIT's.  

    Furthermore, Article 11, of the Customs Convention on Containers  allows products like CSDS to be admitted separately as a container accessory as long as it is to be used on an inbound container or an outbound container in international commerce:

    The Contracting Parties agree to grant temporary admission to accessories and equipment of temporarily admitted containers, which are either imported with a container to be re-exported separately or with another container, or imported separately to be re-exported with a container (5).

    CBP cites the CCC in its Headquarter Rulings regarding CSDs as a container accessory.   In the United States, then, there is precedent for the classifying of CSDs for special Customs treatment. Therefore, firms typically ask for clarification from CBP through what is known as a binding ruling to protect themselves from subsequent  Customs decisions that would later classify the CSD in a way that would make it dutiable retroactively.  Two such rulings again clarify the appropriate treatment of CSDs in relation to Instruments of International Traffic: the IBM case in 2007, and the Bose Corporation case in 2008. 

    U.S. Government Rulings Regarding IITs

    IBM's attempted to obtain a reconsideration of a CBP decision which IBM felt was an inappropriate tariff treatment of its imported Tamper-Resistant Embedded Controller (TREC), which is ...an enhanced container security, monitoring and tracking device which when installed, collects, analyzes and reports data as to the status, condition and location of the container and its contents (6).   Headquarters confirmed the original CBP decision that the imported TRECs were subject to declaration and entry filings unless they were attached to and imported as part of the container which is defined in the CCC as declared in CBP Headquarters Ruling Letter 116684 of August 2006.  In short, the Ruling stated that if the container meets the standard as an Instrument of International Traffic, and the TREC is attached to the container as a "container accessory," the device is free from separate entry declaration.   However, TRECs are not IITs and importing them for entry into the commerce of the United States would subject them to tariff treatment.

    In the case of Bose in 2008, Bose asked that its PT100-C Tracker using GPS satellite technology and employed in its containers carrying Bose products produced around the world  be considered as Instruments of International Traffic and not subject to duties since the PT100-C Tracker was an accessory of a shipping container which is already designated as an Instrument of International Traffic by CCC and DHS Headquarters.  In this case, CBP made it very clear that PT 100-C tracking devices constitute accessories or equipment of instruments of international traffic pursuant to 19 C.F.R. § 10.41a(a)(3) and are therefore designated as instruments of international traffic pursuant to 19 C.F.R. § 10.41a(a)1 (7).    However it noted that CSDs not attached to the container cannot be classified as an IIT.   Mexican treatment, however, is still unclear.

    Treatment within the North American Free Trade Agreement(NAFTA)

    With respect to North America, the United States and Canada are original signatories and each ratified this convention, Canada in 1975, and the U.S. in 1984 (8). Mexico has not.  That doesn't mean that Mexico cannot accept or apply CCC standards.  Mexico can if it so chooses.  However, often firms that are now beginning to use these CSDs are concerned about how Mexican Customs (Aduana) will treat the CSD with respect to tariff classification and duties given that NAFTA generates significant trade.  And that trade volume also suggests linked security questions.   NAFTA  has no reference to tariff treatment of IITs.  In fact, the tariff schedules of the United States, Canada, and Mexico constitute three separate volumes of the agreement.  The commonality of Customs process among the three nations is linked to the World Customs Organization standards and to other treaties into which all three nations have entered.  This means that while the United States and Canada are signatories and follow the Articles of the Customs Convention on Containers, Mexico has not ratified, or accepted the CCC , Mexico is not compelled to follow its guidelines.  Therefore, while IITs are treated similarly in both Canada and the United States, they are not treated the same way by Aduana.

    Attempts have been made to obtain the official guidelines from Mexico regarding the Customs treatment of IITs without success.  However, opinions from respected Mexican Customs Brokers suggest that IIT tariff treatment is similar.   As long as the CSD is attached to the container for use as a container monitoring and security accessory, it will not be subject to duties.   One Broker's opinion is:

      In theory if the device is attached to the trailer from my perspective IT will not have to [be] declared independently for it is a part of the trailer’s security overall devices and thus it is not to be used for any other purpose but to bring security to the products contained inside of the cargo bay….if it is by itself then it will have to be declared and potentially pay duties and taxes and I say potentially for if the importer has a temporary import scheme in place then these duties could be evaded...

    Another Mexican Broker's opinion is this:The short of it is that for MX Customs Purposes and the Commercial Cargo, there is no declaration, BUT for MX Customs for the Temporary Bond that the Mx Carrier will post, the GPS equipment will be listed on there as part of the Container/Van.  That way when the trailer is returned to the USA and the bond is cancelled on Mx Export side, the GPS unit will show up and the bond will be cancelled with the GPS unit by the MX Carrier with MX Customs. Again, the GPS unit has nothing to do with the admissibility of the cargo and the Commercial Invoice Declaration.

    Conclusion

    In many countries in the world, container security devices will not have to be declared or duties paid on their entry when they are used as accessories attached to the container, an Instrument of International Traffic.  However, it appears that Mexico is a little different.  The CSD is likely to have to be covered by the carrier's, importer's, or Customs Broker's bond and as a temporary entry.  There may even be a small cost if it is treated as a temporary entry.  Mexico is simply different.   Because it is, the use of a very good Mexican Customs Broker is essential.

    Postscript

    On December 11, 2010 the draft of this manuscript was sent to the Mexican Embassy for comment or any assistance it could give to resolve this question.  Subsequent telephone conversations with the Embassy resulted in a request that this manuscript would not be published until the Embassy had the opportunity to obtain a clarification from Aduana.  With the understanding and concurrence of the Embassy, this writer and the Embassy agreed that this analysis not be submitted for publication until the end of January, 2011, giving sufficient time for Aduana to publish or make available an official determination.  It appears that the Mexican Embassy did all it could do to help clear up the issue. 

    Despite the cooperation of the Mexican Embassy, as of January 31, 2011, the Embassy was unable, perhaps because of new leadership in Aduana, to obtain any determination or ruling as to the official Mexican Customs treatment of CSDs. 

    ____

    About the Author

     A former Regents Professor at Texas A&M International University, Dr. Jim Giermanski is now Professor of International Business and Director of Centre for Global Commerce at Belmont Abbey College.  He has been chosen as the International Educator of the Year by the National Association of Small Business International Trade Educators and has been appointed to the graduate faculty at the University of North Carolina at Charlotte. In conjunction with the Professional Examination Service (PES) and Bradley University, he is a member of the International Practice Analysis Committee of the NASBITE Task Force to develop a national International Trade Specialist Certificate.  He is also a reviewer for the Transportation Research Board, U.S. National Research Council.  He served as Director of Transportation and Logistics Studies, Center for the Study of Western Hemispheric Trade at Texas A&M International University.

    Dr. Giermanski consults often on international transportation and transportation security, border logistics, and trade matters involving Mexico.   He has frequently given invited testimony on NAFTA, transportation, and other international business issues before the U.S. Senate and House, the Texas Senate and House, EPA, and the U.S. International Trade Commission.  He served as the co-chairman of the Texas Transportation Committee of the Task Force to prepare for NAFTA, sat for 5 years on the Texas Office of the Attorney General’s Trans-border Trucking International Working Group, and for three years as a member of the Research Advisory Committee on Management and Policy, Technical Advisory Panel, Texas Department of Transportation.   He has been requested to serve as a border expert to assist the Arizona Department of Transportation in developing concepts and practices to improve the border crossing activities on the Arizona Mexico border, and at the request of the White House, Council of Economic Advisors, he provided information on trade issues and barriers on the southern border.

    He has authored over 100 articles, books, and monographs and has given over 100 presentations.  He has been published extensively on transportation and trade issues and for five years wrote the International Insight column in Logistics Management.  In addition to his scholarly writing, he has been published in the Journal of Commerce, El Financiero, Traffic World, Strategic Finance, Transport Topics and most recently, Tax Notes International.  He has been interviewed by and quoted in over 50 national and international publications such as the Wall Street Journal, the New York Times, Forbes, the Financial Times, Christian Science Monitor, and has appeared nationally as a special guest on the FOX News Channel’s Special Report with Brit Hume, CNN, NBC, CBS, NPR, BBC, Voice of America and the Canadian Broadcasting Corporation in addition to many local and regional affiliates.

    Finally, with his background as a former FBI special agent, OSI special agent and a Colonel in the Office of Special Investigations where he handled counterintelligence matters, Dr. Giermanski is Chairman of the Board of Powers International, Inc. which provides supply-chain security solutions, consulting, and training.  He currently provides transportation security lectures on C-TPAT, and other Customs and Border Protection (CBP) programs.

    Dr. Giermanski has a Masters degree from the University of North Carolina in Charlotte, a Masters from Florida International University, and a Doctorate from the University of Miami.  He is a graduate of Air Command and Staff College, and The Air War College while also serving as a visiting scholar at the Center of Aerospace Doctrine, Research, and Education, an Air Force think tank.

    Citations:

    (1) Dr. Jim Giermanski, Secret Formula for Solving the Tariff Treatment of Container Security Devices Used by Aduana, December, 2010

    (2) Customs Convention on Containers, 1972, Customs Cooperation Council, United Nations/International Maritime Organization, Geneva, December 2, 1072, p.4.

    (3) Customs Convention on Containers, 1972, p. 7.

    (4) HQ H044900, December 18, 2008 BOR-4-07OT:RR:BSTC:CCI H044900, p. 1.

    (5) Customs Convention on Containers, 1972, p.8.

    (6) HQ H005096, March 12, 2007 BOR-4-07-RR:BSTC:CCI H005096, p....


    Steven L. Smith | killexams.com real questions and Pass4sure dumps

    Steven L. SmithNASA BIOGRAPHYPosted: April 2, 2002

    PERSONAL DATA: Born December 30, 1958, in Phoenix, Arizona, but considers San Jose, California, to be his hometown. Married. He enjoys flying, scuba diving, basketball, camping, and traveling.

    EDUCATION: Graduated from Leland High School, San Jose, California, in 1977; received a bachelor of science degree in electrical in 1981; a master of science degree in electrical engineering in 1982; and a master's degree in business administration in 1987. All three degrees are from Stanford University.

    SPECIAL HONORS: NASA Outstanding Leadership Medal, NASA Space Flight Medal, NASA Exceptional Service Medal, IBM Outstanding Technical Achievement Award, IBM Outstanding Community Service Award. Seven-time high school and collegiate All-American in swimming and water polo. Two-time National Collegiate Athletic Association (NCAA) Champion at Stanford in water polo. Captain of the 1980 NCAA Championship team. Board Member of Texas Special Olympics.

    EXPERIENCE: Steve Smith worked for IBM in the Large Scale Integration (semiconductor) Technology Group in San Jose as a technical group lead from 1982 until 1985. During that time, he was responsible for the development of electron beam chemical and lithographic processes. Following a leave to pursue graduate studies, Smith returned to IBM's Hardware and Systems Management Group as a product manager until 1989.

    NASA EXPERIENCE: Steve Smith is a veteran of three space flights covering 12 million miles and five space walks totaling 35 hours. He joined NASA in 1989 in the Mission Operations Directorate. As a payload officer, his duties included preflight payload integration and real-time flight controller support in Mission Control. He was selected as an astronaut candidate by NASA in 1992 and then completed one year of astronaut candidate training.

    In September 1993, Smith became the first member of the 1992 astronaut class to receive a flight assignment. He has served as the Astronaut Office representative for the Space Shuttle main engines, the solid rocket boosters, the external tank, and Shuttle safety. Smith was also assigned to duties at the Kennedy Space Center for a year and a half as a member of the astronaut support team. The team was responsible for Space Shuttle prelaunch vehicle checkout, crew ingress and strap-in prior to launch, and crew egress post landing. Most recently, he served as the Deputy Chief Astronaut for a year.

    Smith served as a mission specialist aboard the Space Shuttle Endeavour on Mission STS-68 in September 1994. Smith's responsibilities were split between Shuttle systems and Space Radar Lab 2 (SRL-2, the flight's primary payload). Smith was one of two crewmen trained to perform a space walk had one been required. Endeavour circled Earth 183 times and traveled 4.7 million miles during the 11 day, 5 hour and 46 minute flight.

    Smith performed three space walks as a member of the February 1997 STS-82 Discovery crew which serviced the Hubble Space Telescope (HST). The crew completed five space walks in order to dramatically improve the scientific capability of the telescope and to replace degraded support equipment. HST's orbit was also increased 8 miles by the crew. The flight orbited the Earth 150 times covering 4.1 million miles in 9 days, 23 hours, 37 minutes and Smith's three space walks totaled 19 hours.

    Smith was the Payload Commander for STS-103 in December 1999, the Hubble Space Telescope 3A Servicing Mission. The crew performed three space walks to return Hubble to science operations with several upgraded subsystems. Smith performed two space walks totaling 16 hours and 20 minutes. STS-103 orbited the Earth 120 times covering 3.2 million miles in just under 8 days.

    Steve Smith is currently assigned to the EVA crew of STS-110, a 10-day mission to the International Space Station. Launch is scheduled for Spring 2002.



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    IBM COG-205 Exam (IBM Cognos 8 Controller Technical Specialist) Detailed Information



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