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000-N26 - IBM Information Management DB2 10 pureScale Technical Mastery Test v2 - Dump Information

Vendor : IBM
Exam Code : 000-N26
Exam Name : IBM Information Management DB2 10 pureScale Technical Mastery Test v2
Questions and Answers : 34 Q & A
Updated On : April 23, 2019
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000-N26 Questions and Answers

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000-N26 IBM Information Management DB2 10 pureScale Technical Mastery Test v2

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000-N26 exam Dumps Source : IBM Information Management DB2 10 pureScale Technical Mastery Test v2

Test Code : 000-N26
Test Name : IBM Information Management DB2 10 pureScale Technical Mastery Test v2
Vendor Name : IBM
Q&A : 34 Real Questions

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IBM IBM Information Management DB2

DB2 9.5 and IBM information Studio - things I couldn't let you know earlier than DB2 9.5 became introduced | Real Questions and Pass4sure dumps

on the IBM suggestions administration counsel on Demand (IOD) convention in Las Vegas in October 2007, IBM made a couple of predominant bulletins, which included the christening of the DB2 Viper 2 beta as DB2 version 9.5 (DB2 9.5), and the introduction of a brand new toolset for IBM information servers (DB2 for Linux, UNIX, and home windows, DB2 for i5/OS, DB2 for z/OS, and Informix IDS) referred to as IBM records Studio.

I’ve been writing a sequence on one of the vital aspects that have been a part of the DB2 Viper 2 beta application. Now that DB2 9.5 is generally obtainable, i can share with you the imaginative and prescient and the ideology in the back of the new IBM Studio information toolset.

What the DB2 toolset gave the impression of earlier than DB2 9.5

before the professional announcement of the IBM information Studio, IBM focused most of its consideration (and coordination) on customer-facet deliverables around the run time. for instance, IBM delivered move-DB2-household APIs for name degree Interface (CLI), Java Database Connectivity (JDBC), SQL Java (SQLJ), .net, Perl, Ruby on Rails (RoR), Hypertext Preprocessor, Python, and extra.

From a building point of view, there wasn’t a coordinated center of attention on the graphical consumer interface (GUI). In DB2 popular Database (DB2 UDB) version 8, IBM delivered the DB2 Developer core, which developed into the DB2 Developer’s Workbench in DB2 9, but the audience for this device became focused someplace between builders and software-concentrated database directors (DBAs). From a development perspective, one problem was that developers don’t just build kept techniques and user-defined functions (generally referred to as routines); they had to construct net sites the usage of JavaServer Pages (JSP) and applications the use of a framework akin to Java EE (previously called J2EE), etc. For Java builders, our toolset may have helped with 10% of their job, but they couldn’t do every thing they wanted to do using a single IDE. distinct tools suggest a larger customer-facet footprint, not to point out the getting to know curve, all to manage the conclusion-to-conclusion life cycle of an software.

Our outdated toolsets also appealed to software DBAs and supplied them with a framework to construct routines (if this wasn’t the Java developer’s responsibility), however there become no tooling to do schema evolution. For schema work, the utility DBA had to turn to the control center; youngsters, the manage middle became constructed on a completely distinct set of technologies from the DB2 9 Developer Workbench. counting on your job duties, you might also have had to use each tools.

one other group of clients, operational DBAs, could use the handle middle or the command line processor (CLP). despite the fact, they doubtless wanted a light-weight infrastructure to manage the health of their information servers. For this project, these folks possible leveraged yet yet another set of tools, the net-based mostly Command core and the web-primarily based health middle.

within the conclusion, your IT team of workers’s DB2 facts server toolkit looked extra like a bunch of separate tools than a device suite:

The IBM information server toolset with the announcement of IBM information Studio and beyond

The IBM statistics Studio announcement is a big first step in opposition t a realignment of the disparate DB2 equipment right into a single customizable toolset. And these equipment prolong past the DB2 mandate; they are equipment for all IBM relational facts servers. but it surely’s much more than that.

IBM records Studio gives perspectives that enchantment to any projects within the total software existence cycle, which IBM defines as:

different carriers likely outline this manner with diverse labels, but for essentially the most half, each software rolled out through your IT branch experiences these actions.

should you trust the breadth of the IBM utility group (IBM SWG) portfolio, which you can respect the variety of expertise IBM has to present. From this huge-based mostly standpoint, IBM strategists recognized here roles (with an information server center of attention) that the IBM records Studio toolset mandatory to serve. The IBM statistics Studio addresses these roles without delay with add-ins and views.

These roles are proven below:

that you may see that i attempted to map the utility lifestyles cycle outlined previous in this article with the roles that IBM strategists recognized. as an instance, the Design part encompasses work across job duties (during this case, the business analyst and the database architect). As you seem to be more intently at this determine, that you would be able to see that the high-level mixture role of DBA gets broken down into granular DBA-related roles.

To simplify issues, I’ve proven you some roles, and a few of what individuals in these roles do of their everyday jobs beneath. The toolset is in response to Eclipse – the structure of the IDE the place personnel work. notice, besides the fact that children, that there is a web element. The deployment and management of these solutions are moving toward net-based interfaces (such as the facts Studio Administration control), and for that reason the records Studio toolset set has Eclipse-primarily based and internet 2.0-primarily based aspects.

be aware within the previous determine that I’ve grouped application builders and database builders in the same quadrant. Of path, there is administration work to be executed reminiscent of trade administration, schema evolution, and the like, which a DBA must do. there's additionally a whole category dedicated to governance. as an instance, in case you’re a retailer, are you compliant with the fee credit trade statistics security standard (PCI DSS – or PCI, for brief)?

reasonably with ease, no different seller that I’m aware of has an built-in suite that addresses the entire roles illustrated in the old figure. one of the most primary advantages of such a toolset could be its capacity to help the complete firm collect tips on the design phase and use that counsel to make the development tiers more convenient. It follows that right through the development part, the firm would accumulate even more suggestions in regards to the project, and then infuse that information (which builds on the counsel gathered on the design section) to facilitate the deployment part. With improved suggestions, the deployment phase would naturally run more smoothly. The momentum builds, of course, and by the time you get to governance, most of the manual necessities to adhere to a common are already fulfilled as a result of they’ve been recognized and developed during the entire system with a toolset it is ubiquitous to all of its stakeholders.

by means of the governance section, the framework would be able to do something about most of the things you need to comprehend about the utility lifestyles cycle; the toolset would be aware of what it is you try to do and might even be able to automate a few of it for you.

IBM Outlines Evolving records management approach | Real Questions and Pass4sure dumps

on the IBM have an effect on 2014 conference this week, IBM provided a glimpse into two method initiatives that subsequently promise to exchange how records is consumed and managed across the commercial enterprise.

seeking to give end users more direct handle over facts, IBM previewed a Blue perception providing during which end users might be able to leverage the forthcoming BlueMix cloud integration carrier to combine information without the assist of a developer. The Blue perception offering consists of a knowledge refinery that acts as a digital statistics repository, and a group of Catalyst perception tools will permit end clients to investigate any supply of statistics connected to BlueMix.

at the equal time, IBM is planning to vastly optimize in-reminiscence performance of its DB2 database by using discovering an improved way for relational stores for transaction processing purposes and columnar outlets for analytics functions to coexist inside DB2. Sean Poulley, vice president of suggestions management for IBM, says a edition of BLU Acceleration that IBM could have ready this summer season will smoke the pants off rival in-memory databases such because the SAP HANA.

moreover, Poulley says that IBM might be including facts virtualization capabilities if you want to make it easier for corporations to manner facts where it resides in the context of a larger digital statistics warehouse.

Taken together, these drawing close initiatives are designed to provide entry to records at an unheard of level of scale whereas taking abilities of in-memory and magnetic storage methods to maximize performance. Poulley says that whereas reminiscence is becoming a vital part of the information warehouse, it doesn’t make financial experience to shop all statistics in Flash. The precise problem, says Poulley, is to enable relational and columnar statistics outlets to take talents of current and rising memory applied sciences in a method that permits them to scale now and well into the future.

IBM, SAP, Oracle, Teradata and others are locked in a bitter fight to profit the inside side when it involves using the subsequent technology of facts warehousing applied sciences in the commercial enterprise. For probably the most part, these data warehouses will be defined by using Hadoop, serving basically as a knowledge hub to in-memory systems that may deal with probably the most advanced analytics queries in seconds.

while it’s not clear which carriers will ultimately win that contest, the one factor it truly is for definite is that the information warehouse as we as soon as knew it will in no way be the equal.

IBM utility Powers statistics management gadget for Northeast Utilities | Real Questions and Pass4sure dumps

source: IBM

October 17, 2007 15:15 ET

built-in answer From IBM and Lighthouse Meets Regulatory Compliance Challenges

LAS VEGAS, NV--(Marketwire - October 17, 2007) - IBM suggestions on Demand convention -- Northeast Utilities (NU), New England's greatest utility system, has chosen an built-in records management solution from IBM (NYSE: IBM) and Lighthouse desktop features, Inc., to satisfy its growing to be variety of records administration, email archiving and compliance requirements.

The integrated statistics management equipment will assist NU respond to litigation and e-discovery regulatory compliance requirements via enhanced managing, securing, storing and archiving e-mail messages and digital facts.

"Northeast Utilities looks to proceed the momentum relocating ahead as our new data guidance administration application evolves into a powerful and a success program. The synergies constructed with our IBM enterprise companion Lighthouse desktop capabilities, and our technically talented in-condo team, have enabled us to efficaciously install and configure IBM's RM application tools. we are laying down a robust groundwork to accomplish our strategic business desires," mentioned Greg Yatrousis, Northeast Utilities' IT Product supervisor.

The newly applied information management system is anticipated to decrease NU's working charges through reducing the time and energy integral to retrieve counsel. The device additionally will aid NU's information and tips administration policies by determining the classification and format of corporate facts, monitoring compliance with enterprise and prison retention requirements for information, determining the custodians of listing classes, and implementing centered safety requirements and person access in accordance with legal and business requirements.

The IBM application enabling NU to use suggestions as a strategic asset includes: IBM DB2 content material supervisor, IBM DB2 information manager, IBM DB2 doc manager, IBM WebSphere information Integration, IBM CommonStore, IBM DB2 content supervisor statistics Enabler, IBM content material manager On Demand.

About Northeast Utilities

Northeast Utilities operates New England's largest utility equipment serving greater than two million electric powered and herbal fuel consumers in Connecticut, western Massachusetts and New Hampshire. NU has made a strategic determination to focal point on regulated enterprise alternatives. For greater information talk over with

About Lighthouse desktop features

Lighthouse computer functions is a depended on IT marketing consultant to main agencies during the northeast. Lighthouse is an IBM Premier company associate, and positioned number 228 in VARBusiness 2007 ranking of the proper 500 IT answer issuer companies in the u . s .. Lighthouse is additionally winner of IBM's 2006 Beacon Award for standard Technical Excellence in a company partner. For extra advice discuss with

For more tips on IBM's enterprise content material administration offerings, seek advice from

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Transitioning from RDBMS to NoSQL. Interview with Couchbase’s Dipti Borkar | real questions and Pass4sure dumps

While relational databases have been used for decades to store data, and they still represent a viable solution for many use cases, NoSQL is being chosen today especially for scalability and performance reasons. This article contains an interview with Dipti Borkar, Director of  Product Management at Couchbase, on the challenges, benefits and the process of migrating from RDBMS to NoSQL.

InfoQ: When is it the time to dump SQL for a NoSQL solution?

Dipti Borkar: OK, that title sounds a little harsh – and in truth, in most cases, it's not a matter of dumping SQL for a NoSQL solution, but rather, it’s about making a transition from one to the other, where application and use case dictate the need for a change. In general, this transition will be spurred by the need for flexibility – both in the scaling model and the data model - when building modern web and mobile applications.

Typical web applications are built with a three-tier architecture. To scale out the application, more commodity web servers are simply added behind a load balancer to support more users. The ability to scale out is a core tenet of the increasingly important cloud-computing model, in which virtual machine instances can be easily added or removed to match demand.

However, when it comes to the data layer, relational database (RDBMS) technology does not scale out and does not provide a flexible data model, presenting a number of challenges. Handling more users means adding a bigger server, and big servers are highly complex, proprietary, and disproportionately expensive, unlike the low-cost, commodity hardware in web- and cloud-based architectures. So, as organizations start seeing performance problems with their relational database for existing or new applications, particularly as the number of users grows, they realize the need for a faster, elastic database tier. This is the time to start evaluating NoSQL and adopting it as the database tier in their interactive web applications.

InfoQ: What would be the main steps required to transition from SQL to NoSQL?

Dipti Borkar: Organizations/projects can vary greatly in terms of what they are looking for in a NoSQL database; so much of the transition will depend on your use-case. Below are general guidelines for transitioning:

#1 Understand the key requirements for your application:

Some of the requirements that match the need for NoSQL are

  • Rapid application development– Changing market needs– Changing data needs
  • Scalability– Unknown user demand– Need for constantly growing throughput to access, add and update data
  • Consistent performance– Low response time for better user experience– High throughput to handle viral growth
  • Operational reliability– High-availability to handle failures gracefully with minimal impact to the application– Built-in monitoring APIs for easy ongoing maintenance
  • #2 Understand the various types of NoSQL offerings:

    There is a common myth that all NoSQL databases are created equally - this is not true. Cassandra, for instance may be a solution you use for analytical use cases given its columnar data model. Neo4j, a graph database, for example, may be the database you use for applications that need access to relationships between entities.

    I'll focus specifically on distributed document-oriented NoSQL database technology – with Couchbase and MongoDB being the two most visible and widely adopted examples.

    #3 Execute a proof of concept

    Once you have narrowed down on potential choices for the database tier, plan a proof of concept integrating the key characteristics of your application. Look for response time and throughput performance and the ability to scale out easily.

    #4 Document modeling and development

    For document databases, spend sometime on modeling your data from fixed tabular schemas to flexible document objects.

    #5 Deploying to staging and production

    Operational stability is a very important aspect for interactive web applications. Test and stage your application rollout as you would for applications that use traditional RDBMS systems. Ensure your selected database supports monitoring across the cluster, easy online scaling for adding capacity if needed and other database administrative tools.

    #6 Stay up to date on newest trends

    There is a plethora of quality, free training courses throughout the US that offer hands-on NoSQL training courses. The best way to ensure a successful NoSQL implementation is to have an educated developer team that is up to date on the latest server releases and vendor offerings. 

    Below are links to some of the biggest ones:


    -NoSQL Now

    InfoQ: What are the main difficulties migrating from SQL to NoSQL?

    Dipti Borkar: The main difficulty basically boils down to understanding the differences between the traditional RDBMS systems and document databases. The most important difference is the data model:


    As shown above, each record in a relational database conforms to a schema – with a fixed number of fields (columns) each having a specified purpose and data type. Every record is the same. Data is denormalized across multiple tables. The upside is that there is less duplicated data in the database. The downside is that a change in the schema means performing several expensive “alter table” statements that requires locking down many tables simultaneously to ensure a change doesn’t leave the database in an inconsistent state.

    With document databases on the other hand, each document can have a completely different structure from other documents. No additional management is required on the database to handle changes to document schemas.

    InfoQ: What are the benefits of NoSQL document databases?

    Dipti Borkar: The main benefits of document databases are:

  • Flexible data modelData can be inserted without a defined schema, and the format of the data being inserted can change at any time—providing extreme flexibility in the application, which ultimately delivers substantial business agility.
  • Easy scalabilitySome NoSQL databases automatically spreads data across servers, requiring no participation from the applications. Servers can be added and removed from the data layer without application downtime, with data and I/O spread across servers.
  • Consistent, high performanceAdvanced NoSQL database technologies transparently cache data in system memory—a behavior that is completely transparent to the developer and the operations team.
  • InfoQ: How do developers react when you tell them about adopting NoSQL?

    Dipti Borkar: Developers are extremely excited about NoSQL technologies particularly because of the ease of development some databases bring. Document databases have extremely flexible schemas and are easy to work with.

    Developers can iterate over application changes faster without the need to change the schema of the underlying database. This is particularly useful when developers are building applications with sparse data or data that’s constantly changing or data from third-party providers they do not have control over.

    InfoQ: Is it OK to work with existing developers and have them learn new skills or should you look for new ones that master NoSQL?

    Dipti Borkar: Application developers will find it easy to adopt some NoSQL technologies, particularly those that support JSON as the document format. More and more developers are using JSON to model objects in their applications. Therefore storing the data directly as JSON in the database reduces the impedance mismatch across the stack.

    Developers who heavily use SQL may need to adapt and learn about document modeling approaches. Rethinking how data can be structured in a logical way using documents rather than normalizing the data into a fixed database schema becomes an important aspect.

    InfoQ: Have you had or heard of unsuccessful attempts to switch to NoSQL? If yes, what went wrong?

    Dipti Borkar: Architects and developers should ensure that their key requirements are satisfied by the solution or database selected. For example, choosing a database that’s more suited towards analytical applications may not satisfy your latency and throughput needs for interactive applications. Projects that make a quick choice without investigating all requirements may find that they have slower response times for data access leading to a poor user experience. Users need to plan up front for scalability. Here’s a more drastic example of things going south. In some situations an app has gone viral but the database that was selected couldn’t keep up and scale out.

    At the same time, using a database that is more suited towards an OLTP-like use case may not perform well for advanced analysis jobs or complex processing. A big data solution may be more suitable.

    InfoQ: What are the key lessons migrating to NoSQL?

    Dipti Borkar: There are a lot of benefits developers will see when moving to NoSQL. A more flexible data model and freedom from rigid schemas is a big one. You may also see significantly improved performance and the ability to horizontally scale out the data layer.

    But most NoSQL products are in early stages of the product cycle. While functionality like complex joins or multi-document transactions can be simulated in the app, developers may be better off using a traditional RDBMS. And for some projects, a hybrid approach might be the best choice.


    About the Interviewee


    Dipti Borkar is the Director of  Product Management at Couchbase where she is responsible for the product roadmap of Couchbase Server, a NoSQL database and works with customers and users to understand emerging requirements for low-latency, scalable data stores. Dipti has deep technical experience in the database industry having worked at IBM as a software engineer and Development Manager for the DB2 server team and then at MarkLogic as a Senior Product Manager.  Dipti holds a Masters degree in Computer Science from the University of California, San Diego with a specialization in databases and holds an MBA from the Haas School of Business at University of California, Berkeley.

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