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C2090-310 exam Dumps Source : IBM PureData System for Transactions - Administration
Test Code : C2090-310
Test Name : IBM PureData System for Transactions - Administration
Vendor Name : IBM
Q&A : 56 Real Questions
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To expand on its huge records platform, IBM has announced new technologies for records acceleration and new Hadoop equipment advancements, including an industry-first innovation referred to as "BLU Acceleration," which mixes a few suggestions to dramatically increase analytical performance and simplify administration.
"big data is set using all statistics in context at the factor of influence," noted Bob Picciano, typical manager, IBM information management. "With the improvements we're providing, now every firm can recognise cost instantly by means of leveraging current advantage in addition to undertake new capabilities for speed and exploration to enrich enterprise results."
IBM BLU Acceleration can provide key advice to users faster by extending the capabilities of typical in-memory techniques - which permits statistics to be loaded into Random entry memory as a substitute of hard disks for faster performance - by using featuring in-reminiscence performance even when information sets exceed the size of the reminiscence. innovations in BLU Acceleration encompass "data skipping," which allows the skill to bypass over facts that would not need to be analyzed, similar to reproduction guidance; the means to research records in parallel across diverse processors; and better ability to research data transparently to the utility, with out the should advance a separate layer of data modeling. one other industry-first increase in BLU Acceleration is called "actionable compression," the place facts no longer needs to be decompressed to be analyzed.Optimized for Hadoop
IBM additionally announced a new IBM PureData device for Hadoop, designed to make it easier and faster to set up Hadoop in the business. the brand new device integrates IBM InfoSphere BigInsights, which allows organizations of all sizes to can charge-with no trouble manipulate and analyze records and add administrative, workflow, provisioning and security features, along with optimal-in-classification analytical capabilities from IBM research. Kelley Blue booklet, the leading provider of new and used automobile guidance, might be evaluating the new PureData gadget for Hadoop to investigate click circulate data created by means of clients on its web site.
"Kelley Blue publication collects all types of records from various sources, so managing the effectivity of facts is crucial to develop our enterprise," pointed out Steve Chow, vice president of expertise and information intelligence for Kelley Blue ebook. "We see many alternatives to leverage the IBM's providing as a strategic platform to extend on our analytic ecosystem and tap the value of social media, textual content and computer statistics to get an improved view of our patrons and consumers to improve their universal experience on KBB.com."stream Computing
Two additional big information announcements from IBM consist of new models of InfoSphere and Informix. An update to its commercial enterprise-ready Hadoop offering, InfoSphere BigInsights make it more convenient to enhance functions the usage of latest SQL talents, additionally features compliance protection and high availability elements essential for enterprise functions. a new version of InfoSphere Streams, pleasing “stream computing” application that enables large quantities of records in action to be analyzed in true-time, with efficiency improvements, and simplified software construction and deployment. A new edition of Informix including TimeSeries Acceleration for operational reporting and analytics on wise meter and sensor information.
IBM held a big statistics Summit Wednesday to announce the new innovations, and will supply a free broadcast adventure April thirtieth to dive deeper into the introduced options.
business expertise provider IBM is unveiling new information acceleration and Hadoop applied sciences it says will make examining volumes of big facts faster and more straightforward.
IBM is offering two new technologies -- BLU Acceleration for stronger analytical performance and Pure statistics system for Hadoop for sooner and more convenient enterprise deployment of Hadoop. BLU Acceleration allows for clients to load huge information into RAM instead of tough disks, allowing in-memory efficiency regardless of the measurement of data units. IBM says exams reveal some information queries are processed as much as 1,000 faster in consequence.
furthermore, BLU Acceleration presents a potential IBM calls "facts skipping," which enables clients to steer clear of replica tips, analyze facts in parallel across multiple processors and analyze statistics transparently to the application with out desiring a separate statistics modeling layer. another new means referred to as “actionable compression” gets rid of the deserve to decompress facts earlier than analyzing it.
in the meantime, IBM says Pure information device for Hadoop presents greater and easy-to-use analytic and visualization tools and may in the reduction of the time needed to ramp up an business Hadoop implementation from “weeks to minutes.” Hadoop is an open-supply utility device that may procedure massive volumes of both structured and unstructured data.
IBM is also releasing new types of its enterprise InfoSphere BigInsights Hadoop software development tool, InfoSphere “circulation computing” software designed to research large records volumes in true time, and Informix database software.IBM Meets Market calls for, Struggles with Challenges
based on a put up by using analyst Jeff Kelly on the Wikibon weblog, IBM has “has the broadest and deepest big statistics product and features portfolio within the business,” but also faces challenges concerning a fragmented set of expensive large data solutions. due to this fact, Kelly says IBM’s huge facts items and services are primarily used by means of giant businesses.
while Kelly says the big information capabilities IBM released nowadays don't signify unique approaches, they do reveal that big Blue has its “ear to the floor” and is “actively evolving its huge information portfolio of offerings to meet the needs of practitioners and the business” by means of doing things like extending the value of latest DB2 and Informix deployments by using presenting focused true-time capabilities.keeping up with the Joneses (aka SAP)
it's probably not a twist of fate that IBM is making an immense announcement about speeding up and easing its big records analysis/reporting capabilities a week after business technology competitor SAP unveiled rapid-deployment solutions for the SAP enterprise Suite powered through SAP HANA. What this potential, promises SAP, is that it will take 12 weeks or much less to implement these new capabilities and have true-time analytics up and operating at its consumer sites.
previous this yr, SAP announced that its tremendous-speedy in-memory database administration system, SAP HANA, become capable of do analytics and transactions in the same database -- thereby giving commercial enterprise choice makers the skill to understand not only what’s occurring, whereas it’s going on, however also to take abilities of insights in response to what’s took place in the past right through the client relationship to get a sense of how a client might be feeling all over the current transaction.
All this is part of SAP’s large information transition method that guarantees to disrupt the big information market.
it is going to make an effort to kind out which of these business IT giants has the lead in large facts (naturally Oracle and Microsoft are additionally jockeying for positions), and more than doubtless each and every one will outdo the different in certain key aspects of huge information management, but IBM is letting it be typical that the big facts combat has just begun.
All new IBM massive information solutions might be available in Q2 2013, apart from the PureData gadget for Hadoop, with the intention to delivery transport to customers in the 2nd half of 2013.
IBM is expanding its portfolio of PureSystems these days with new offerings for transactions, analytics and operational analytics.
The PureData programs are pre-configured answer bundles of server hardware and application that are designed for specific use cases. IBM first introduced the PureSystems strategy in April of this yr with the PureFlex and PureApplication bundles. The three new bundles are principally constructed to deal with statistics.
"The extent and speed of data is just massive nowadays, and the problem is the way to get the right information at the right time," Pete McCaffrey, Director, PureSystems category advertising and marketing, instructed ServerWatch. "Pure information is really designed to address the influx of data and to effortlessly the complete manner."
Bernie Spang, Director of Database software and programs at IBM, explained that the primary new PureData gadget is for managing transaction processing. He noted that on transactional web sites there is a transaction database that sits in the back of the web page conserving music of moves and then committing the transaction. A transactional database in the back of a website can guide lots of purchasers simultaneously with lots of reads and writes to the database.
The PureData equipment points purple Hat commercial enterprise Linux 6 because the core underlying operating gadget. IBM then packs in its own DB2 edition 10 commercial enterprise Server edition, at the side of IBM InfoSphere and the Tivoli Storage supervisor customer.
From a hardware standpoint, a full rack PureData transaction solution can supply as many as 384 processor cores and 6.2 TB of reminiscence. IBM is packing in 19.2 TB of SSD storage and an additional 128 TB of spinning disk challenging pressure storage.
the brand new IBM PureData equipment comes just a week after Oracle introduced its personal massive database system with the Exadata X3. Spang noted that IBM DB2 and the PureData equipment can also be install to run Oracle Database purposes with minimal alterations. This outcomes from DB2's help for Oracle's kept syntax and stored process languages.
in addition to the PureData device for transactions, IBM additionally has a brand new gadget constructed specifically for analytics. As is the case with the transaction equipment, purple Hat commercial enterprise Linux is the core operating system. On properly of RHEL IBM is installation its Netezza Platform utility as well IBM InfoSphere BigInsights.
When it involves Operational Analytics, IBM has a further PureData gadget that takes a different architectural method than the transaction or analytics device. The PureData Operational Analytics device runs IBM's energy structure with the AIX UNIX operating device on correct.
"among the merits of the energy and AIX architecture is the means for huge parallel threading," Spang mentioned. "For operational analytics you must cope with huge parallel processing of the analytics workloads across a excessive volume of records and you have got to support a continuous load of the records coming in in addition to a high diploma of concurrency to assist operations."
From a hardware perspective, the PureData gadget for Operational Analytics can scale up to 96 cores of compute and 769 GB of RAM. The largest equipment offers as much as 14.four TB of strong State Storage and 324 TB of complicated pressure storage.
Sean Michael Kerner is a senior editor at InternetNews.com, the news provider of the IT company part network, the network for expertise gurus comply with him on Twitter @TechJournalist.
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IBM is expanding its portfolio of PureSystems today with new offerings for transactions, analytics and operational analytics.
The PureData Systems are pre-configured solution bundles of server hardware and software that are designed for specific use cases. IBM first announced the PureSystems approach in April of this year with the PureFlex and PureApplication bundles. The three new bundles are specifically built to deal with data.
"The volume and velocity of data is just huge today, and the challenge is how to get the right data at the right time," Pete McCaffrey, Director, PureSystems Category Marketing, told ServerWatch. "Pure Data is basically designed to address the influx of data and to simply the whole process."
Bernie Spang, Director of Database Software and Systems at IBM, explained that the first new PureData system is for handling transaction processing. He noted that on transactional websites there is a transaction database that sits behind the site keeping track of actions and then committing the transaction. A transactional database behind a site can support thousands of shoppers simultaneously with lots of reads and writes to the database.
The PureData system features Red Hat Enterprise Linux 6 as the core underlying operating system. IBM then packs in its own DB2 version 10 Enterprise Server edition, together with IBM InfoSphere and the Tivoli Storage Manager client.
From a hardware perspective, a full rack PureData transaction solution can provide as many as 384 processor cores and 6.2 TB of memory. IBM is packing in 19.2 TB of SSD storage and an additional 128 TB of spinning disk hard drive storage.
The new IBM PureData system comes just a week after Oracle announced its own massive database system with the Exadata X3. Spang noted that IBM DB2 and the PureData system can be set up to run Oracle Database applications with minimal changes. This results from DB2's support for Oracle's stored syntax and stored procedure languages.
In addition to the PureData System for transactions, IBM also has a new system built specifically for analytics. As is the case with the transaction system, Red Hat Enterprise Linux is the core operating system. On top of RHEL IBM is installing its Netezza Platform software as well IBM InfoSphere BigInsights.
When it comes to Operational Analytics, IBM has another PureData System that takes a different architectural approach than the transaction or analytics system. The PureData Operational Analytics system runs IBM's Power architecture with the AIX UNIX operating system on top.
"Among the benefits of the Power and AIX architecture is the capability for massive parallel threading," Spang said. "For operational analytics you have to deal with massive parallel processing of the analytics workloads across a high volume of data and you have to support a continuous load of the data coming in as well as a high degree of concurrency to support operations."
From a hardware perspective, the PureData System for Operational Analytics can scale up to 96 cores of compute and 769 GB of RAM. The largest system provides up to 14.4 TB of Solid State Storage and 324 TB of hard drive storage.
Sean Michael Kerner is a senior editor at InternetNews.com, the news service of the IT Business Edge Network, the network for technology professionals Follow him on Twitter @TechJournalist.
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Anna McKee, a senior at the University of North Texas, made history last year as the first woman to win IBM’s Master the Mainframe competition.
This year, she won the competition again as one of three overall winners out of more than 18,000 high school and college students who entered.
“I was very shocked that I won,” McKee said. “I was like, ‘Are you sure?’ I really had no intentions of winning the competition again. I didn’t think they’d let me win again, to be honest.”
The competition is a three-part challenge to navigate a mainframe, computers used by large organizations for data processing. Digital systems from ATM transactions to airline reservations are run on mainframes.
The final portion of the competition that’s analyzed by judges has students look through code and different reports to try to find and fix the errors, McKee said.
McKee said she was ready for the competition because she’s taken classes about mainframes and had an internship with Fidelity Investments in 2016 working in mainframe development modifying and creating programs. By competing, she was able to sharpen her skills, she said.
“I think it’s a great way for me to keep my mainframe skills up to date, and it’s something that’s challenging,” she said. “It’s the challenge that I really enjoy, as well.”
Winning the competition also meant she got a free trip to go to IBM’s Think 2019 conference in San Francisco last month, a major networking opportunity.
McKee will graduate in May with two degrees, a Bachelor of Science in information systems and a Bachelor of Business Administration in decision sciences. In September, she’s set to start a job as an analyst with USAA. Eventually, she wants to get a master’s in data science or machine learning.
Learning how to program and maintain mainframes will remain important, and McKee said she hopes UNT will keep offering classes and experiences to learn about the systems.
“We need the next generation to understand how these programs work and how to fix them if they break,” she said. “It ensures we can keep everything safe and running in the future.”
JENNA DUNCAN can be reached at 940-566-6889 and via Twitter at @jennafduncan.
ARMONK, N.Y., April 3, 2013 /PRNewswire/ -- IBM (NYSE: IBM) today announced new technologies designed to help companies and governments tackle Big Data by making it simpler, faster and more economical to analyze massive amounts of data. New data acceleration innovation results in as much as 25 times faster reporting and analytics.
(Photo: http://photos.prnewswire.com/prnh/20130403/NY88061-INFO ) (Logo: http://photos.prnewswire.com/prnh/20090416/IBMLOGO )Big Data: Making the World Go Round. (PRNewsFoto/IBM) (PRNewsFoto/IBM)
As organizations grapple with a flood of structured and unstructured data generated by computers, mobile devices, sensors and social networks, they're under unprecedented pressure to analyze much more data at faster speeds and at lower costs to help deepen customer relationships, prevent threat and fraud, and identify new revenue opportunities.
Today's announcement, which represents the work of hundreds of IBM developers and researchers in labs around the world, includes an industry-first innovation called "BLU Acceleration," which combines a number of techniques to dramatically improve analytical performance and simplify administration.
Also announced is the new IBM PureData System for Hadoop, designed to make it easier and faster to deploy Hadoop in the enterprise. Hadoop is the game-changing open-source software used to organize and analyze vast amounts of structured and unstructured data, such as posts to social media sites, digital pictures and videos, online transaction records, and cell phone location data.
The new system can reduce from weeks to minutes the ramp-up time organizations need to adopt enterprise-class Hadoop technology with powerful, easy-to-use analytic tools and visualization for both business analysts and data scientists. In addition, it provides enhanced Big Data tools for monitoring, development and integration with many more enterprise systems.
"Big data is about using all data in context at the point of impact," said Bob Picciano, general manager, IBM Information Management. "With the innovations we are delivering, now every organization can realize value quickly by leveraging existing skills as well as adopt new capabilities for speed and exploration to improve business outcomes."
BLU Acceleration enables users to have much faster access to key information, leading to better decision-making. The software extends the capabilities of traditional in-memory systems -- which allows data to be loaded into Random Access Memory instead of hard disks for faster performance -- by providing in-memory performance even when data sets exceed the size of the memory. During testing, some queries in a typical analytics workload were more than 1000 times faster when using the combined innovations of BLU Acceleration.1
Innovations in BLU Acceleration include "data skipping," which allows the ability to skip over data that doesn't need to be analyzed, such as duplicate information; the ability to analyze data in parallel across different processors; and greater ability to analyze data transparently to the application, without the need to develop a separate layer of data modeling. Another industry-first advance in BLU Acceleration is called "actionable compression," where data no longer has to be decompressed to be analyzed.
BNSF Railway Company, one of the largest freight rail transportation networks in North America, is using IBM BLU Acceleration to more quickly understand the vast amounts of data from the organization's 1700 servers that tracks maintenance, weather, scheduling, inventory, safety, deliveries and more. BNSF operates more than 1,400 trains a day on 32,500 route miles of track in 28 states and two Canadian provinces.
"BNSF transports many of the products and materials that we use every day in America and around the world, so tracking of these shipments is critical to our organization," said Kent Collins, Database Solutions Architect, BNSF Railway Company. "Working with IBM we are now embracing our organization's Big Data with the power of analytics. Thanks to the new technology, we're performing tasks more quickly than ever before, for example, one of the queries improved over 100-fold, and our storage consumption went down by about 10 times. One of the things that impressed us the most about BLU Acceleration is its simplicity. We just load the data and run queries."
IBM innovations make Big Data more accessible and enterprise-ready
The new offerings expand what is already the industry's deepest portfolio of Big Data technologies and solutions, spanning software, services, research and hardware. The IBM Big Data platform combines traditional data warehouse technologies with new Big Data techniques, such as Hadoop, stream computing, data exploration, analytics and enterprise integration, to create an integrated solution to address these critical needs.
IBM PureData System for Hadoop is the next step forward in IBM's overall strategy to deliver a family of systems with built-in expertise that leverages its decades of experience reducing the cost and complexity associated with information technology. This new system integrates IBM InfoSphere BigInsights, which allows companies of all sizes to cost-effectively manage and analyze data and add administrative, workflow, provisioning and security features, along with best-in-class analytical capabilities from IBM Research.
Kelley Blue Book, www.kbb.com, the leading provider of new and used car information, will be evaluating the new PureData System for Hadoop to analyze click stream data created by users on its website. The company will be able to analyze this information, including social media data, to see what topics visitors care most about, such as used and new-vehicle prices, accident reports, safety recall and warranty data, and car shopper reviews.
"Kelley Blue Book collects all kinds of data from various sources, so managing the efficiency of data is critical to grow our business," said Steve Chow, vice president of technology and data intelligence for Kelley Blue Book. "We see many opportunities to leverage IBM's offering as a strategic platform to expand on our analytic ecosystem and tap the value of social media, text and machine data to get a better view of our consumers and customers to improve their overall experience on KBB.com."
Today's announcement also includes the following new versions of IBMs Big Data solutions:
Pricing and Availability
All offerings are available in Q2, except the PureData System for Hadoop, which will start shipping to customers in the second half 2013. Credit-qualified clients can take advantage of simple, flexible lease and loan packages with no up-front payments for the software and systems that deliver a new generation of data analytics. IBM Global Financing offers attractive leasing programs with 90-day payment deferrals for the PureData System for Hadoop, as well as zero percent loans for the broader portfolio of IBM big data solutions.2
To view IBM's online press room, visit www.ibm.com/press. The following IBM Big Data videos are available: "Next Natural Resource:" http://ibm.co/10x4VqD; and "At Speed of Biz:" http://ibm.co/10x551d
For more information about IBM, please visit: http://www.ibmbigdatahub.com/, http://www.ibm.com/bigdata and http://www.ibm.com/PureSystems/PureData/.
Contact information:Payal Patel Cudia IBM Global Communications 1 (781) email@example.com
Hanna Smigala IBM Media Relations 1 (720) firstname.lastname@example.org
1 Based on internal IBM tests of analytic workloads comparing queries accessing row-based tables on DB2 10.1 vs. columnar tables on DB2 10.5. Results not typical. Individual results will vary depending on individual workloads, configurations and conditions, including size and content of the table, and number of elements being queried from a given table.
2IBM Global Financing offerings are provided through IBM Credit LLC in the United States and other IBM subsidiaries and divisions worldwide to qualified commercial and government clients. Minimum transaction size is U.S. $5,000. Rates and availability are based on a client's credit rating, financing terms, offering type, equipment and product type and options, and may vary by country. Interest continues to accrue on deferred payments. Non-hardware items must be one-time, non-recurring charges; Services are financed by means of loans. Other restrictions may apply. Rates and offerings are subject to change, extension or withdrawal without notice and may not be available in all countries.
All other company, product or service names may be trademarks or registered trademarks of others. Statements concerning IBM's future development plans and schedules are made for planning purposes only, and are subject to change or withdrawal without notice. Reseller prices may vary.
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