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Test Code : 000-716
Test denomination : DB2 Data Warehouse Edition V9.1
Vendor denomination : IBM
: 130 actual Questions

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IBM IBM DB2 Data Warehouse

IBM Db2 Analytics Accelerator version 7.1 — efficiency with more advantageous Flexibility | killexams.com actual Questions and Pass4sure dumps

organizations possess a wealth of useful records on their commercial enterprise systems. Ideally, decisions should live derived from this information because it’s generated to assist these days’s true-time company needs. Deriving insight from out of date data can lead to negative mighty selections and doubtlessly damaging moves. This might allow fraud and cyber criminals to exploit that records and the techniques. It may furthermore influence in lost earnings through overlooked revenue opportunities. in a similar way, the equal could live observed of no longer being capable of resolve facts lickety-split enough.

IBM Db2 Analytics Accelerator for z/OS (Accelerator) can advocate tackle both of those challenges. at the start, it allows for queries to live performed on existing transactional facts with miniature or no influence to operational outfit performance. Secondly, the Accelerator can toil to enormously ameliorate the performance of germane queries usually present in analytics applications.

The Accelerator is designed for top-velocity evaluation of industry statistics. it could possibly attend reduce operational can suffuse and complexity with the aid of bringing the analytics closer to the records and enabling near real-time analytics on transactional statistics because it’s generated. The Accelerator transforms the IBM Z platform into a hybrid transaction and analytical processing (HTAP) atmosphere. it could possibly convey high-speed processing for advanced, useful resource-intensive Db2 queries to advocate business-crucial reporting and analytic workloads.

Flexibility and efficiency with Db2 Analytics Accelerator edition 7.1

The Accelerator has been attainable for several years and is used by IBM Z purchasers across many industries to advocate hasten knotty queries on enterprise-crucial statistics, while not having to stream that information to a discrete platform for analytics. Executing transaction and analytical workloads simultaneously on the identical platform can aid reduce latency whereas leveraging the safety capabilities of the IBM Z platform. Analytical processing does not abase transactional workload efficiency as a result of transactional and analytical queries are each processed within divide compute useful resource pools.

As depicted in determine #1, the Db2 Analytics Accelerator version 7.1 grants two deployment options, either on the IBM integrated Analytics outfit (IAS) and/or directly on the IBM Z mainframe.

figure #1: committed appliance (Accelerator on IAS) or aboriginal on IBM Z (Accelerator on IBM Z) choosing the right alternative

The Db2 Analytics Accelerator for z/OS version 7.1 offers the option to install the contour ingredient that most closely fits a company’s requirements:

  • Db2 Analytics Accelerator on IAS allows businesses to install on the IBM integrated Analytics device appliance. This pre-configured offering comprises hardware (compute, storage, and networking) and application for light deployment, administration, and unreasonable performance. It furthermore presents security-rich, resilient and elastic facts storage it is both light to set up and manage.
  • Db2 Analytics Accelerator on IBM Z allows for companies to deploy directly on the IBM Z mainframe, inside a at ease service Container leveraging built-in Facility for Linux (IFL) processors. This makes it possible for for deeper integration with the IBM Z infrastructure. This selection can furthermore present resilient potential to respond to top analytic workload requirements while meeting SLAs. It supports a subset of SQL, executable in Db2 for z/OS. Basing the Accelerator on Db2 Warehouse makes it possible for improved consume of the supported SQL on account of enhanced SQL compatibility throughout the Db2 family.
  • both deployment alternate options are according to IBM’s analytical engine, Db2 Warehouse. This helps assure a uniform event with one API and database engine. It allows companies to invest once in enabling their applications and workloads for the Accelerator and then transition comfortably between deployment alternate options. The IBM Db2 Warehouse gives perquisite here merits:

  • greater SQL compatibility across the gross Db2 household of products.
  • Columnar technology supplying quicker performance for a lot of analytic queries than outmoded types.
  • Containerized fashion can facilitate quicker, easier integration with different applied sciences and approaches.
  • Deployment on IAS

    IBM Db2 Analytics Accelerator on IAS is a subsequent-era hardware appliance. It offers its components out of the box, together with optimized hardware and application. This deployment option supplies a balanced, advanced, performance-optimized configuration. The hardware includes the rack, the actual servers and storage. it's in response to IBM power hardware and is optimized for expense/efficiency. The utility stack includes the Linux working gadget, Docker utility, Docker container and infrastructure administration amenities.

    Deployment on IBM Z

    IBM Db2 Analytics Accelerator on IBM Z circumstances can furthermore live deployed immediately by route of a download & high-tail approach. Deploying the Accelerator on IBM Z programs the utility stack into an IBM cozy carrier Container (SSC) analytic partition (LPAR). This helps deliver a self-managed appliance working in a SSC LPAR that can live deployed in minutes.

    distinct relaxed carrier Containers can partake the identical IFLs. dissimilar Accelerators, therefore, can partake the equal hardware substances. This can live a mighty suggestion for several creation, and test/building instances, which could live provisioned and re-provisioned as integral.

    The Accelerator on IBM Z integrates into a company’s IBM Z environment and leverages the customary LPAR-memory and CPU administration strategies. This fashion additionally leverages the firm’s own disk to shop Accelerator-side statistics. This selection is for corporations that wish to choose skills of IBM Z amenities for actions comparable to catastrophe recovery and allows for for deeper integration with the IBM Z infrastructure.

    summary and next Steps

    When real-time perception concerns, IBM Z, together with Db2 for z/OS and the Db2 Analytics Accelerator, can attend bring an impressive transaction and analytical ambiance.

    it could possibly aid corporations choose lore of their enterprise facts where it originates to toil to pressure unreasonable repercussion choices whereas minimizing latency, simplifying infrastructure, assisting to Cut back the can suffuse of such IT infrastructure and improving statistics security. it will probably assist revolve statistics into perception, and perception into desultory to deliver near actual-time solutions to one of the most essential questions.

    To live trained greater about IBM Db2 Analytics Accelerator edition 7.1, click on here.

    Stephen Astorino,VP of development, Hybrid Cloud, z Analytics and Canada Lab Director IBM Analytics

    observe me: @astorino_steven


    IBM and Robin systems proclaim a Joint solution for the Containerized IBM Db2 Warehouse on Robin Cloud Platform | killexams.com actual Questions and Pass4sure dumps

    March 20, 2018 09:00 ET | supply: Robin methods

    SAN JOSE, Calif., March 20, 2018 (GLOBE NEWSWIRE) -- Robin methods, the only container-primarily based software-described Infrastructure (ADI) utility provider, today announced measure availability of IBM Db2 Warehouse on Robin Cloud Platform. The containerized IBM Db2 Warehouse admit atop Robin Cloud Platform simplifies packaging and distribution to facilitate a actual load-and-go statistics warehouse in a hybrid cloud architecture. 

    Robin Cloud Platform now has the broadest advocate of industry statistics Apps out there and is the best solution that permits you to partake materials across varied applications and clients whereas guaranteeing performance isolation. Robin is additionally the handiest solution that slashes deployment, as well as administration times from days to minutes. IBM® Db2 Warehouse (previously dashDB™ native) runs optimally using Robin Cloud Platform powered by using and for container know-how.  Packaging, portability and agility are developed into the joint offering, showcasing how a lore warehouse can furthermore live modernized and optimized through leveraging Robin’s software-defined Infrastructure (ADI).

    “Porting and modernizing an already wonderful analytics solution to gain consume of container expertise is wonderful and units a elevated bar for different stateful information-heavy consume cases looking for modernization alternate options. Their undergo shows cases where consumers save up to 50% on the variety of nodes, as well as gain drastically better agility via blazing quickly deployments down from weeks and days to minutes, utter whereas guaranteeing performance (IOPS) in a shared multi-tenant environment,” observed Premal Buch, Robin programs CEO.

    Robin Cloud Platform is a container-based absolute software admit that sits between the application and the infrastructure and allows 1-click software workflows for the consumer through letting the purposes auto-configure storage, compute and networking throughout on-premise and cloud-based environments. It has relaxation APIs and hooks to interface with the relaxation of the ecosystem and requires no alterations to the purposes.

    “IBM® Db2 Warehouse (formerly dashDB™ local) runs optimally the consume of Robin Cloud Platform powered through and for container technology. Porting and modernizing an already first-rate analytics solution to contemporaneous virtualization the usage of containers is pleasing word and is naturally encouraging for different consume circumstances exploring alternate options for quite a lot of stateful facts-defined apps.” greater from the IBM group about IBM Db2 Warehouse on Robin Cloud Platform.

    The IBM® Db2 Warehouse is a terrific solution in situations the spot control of records should live maintained in a multitenant atmosphere or cloud like vogue. IBM® Db2 Warehouse and its software described structure makes it viable to maximise the resource pool utilization along with the in-memory processing skill to bring extremely speedy results in addition to give vastly parallel processing (MPP) to assist scale out and scale up as require changes.

    Robin Cloud Platform is completely poised to outfit and optimize IBM® Db2 Warehouse with a simplistic strategy to containerize, outfit and optimize deployments. immediate benefits additionally encompass lickety-split time to market and the consequent cost rate reductions. The skill to outline as soon as and flee anywhere is useful in the hybrid-cloud atmosphere.

    Robin furthermore presents a 5-Day Free visitation edition (FE) of it’s enterprise edition on AWS and a free totally featured group version (CE) of its Cloud Platform for commercial enterprise Databases, massive-information and NoSQL.

    Get Free trail version (FE) or group edition (EE).

    About Robin SystemsRobin transforms the route commercial enterprise applications drive the infrastructure via bringing collectively goal-developed container-conscious obstruct storage with an application-aware supervisor into the cloud (private and/or public). This demonstrates wonderful advantages to allotted, clustered and stateful applications including huge-data and Databases. With a team that comprises industry veterans from main enterprise expertise agencies akin to NetApp, Oracle, and Veritas, Robin seeks to disrupt the $20 billion-plus virtualization market with its container-based compute and storage platform software that gives you superior performance greater consolidation and a an dreadful lot less demanding software lifecycle administration than accustomed hypervisor-based virtualization. situated in 2013, the San Jose California-based mostly company has raised more than $27 million in venture funding from leading buyers corresponding to transparent Ventures, DN Capital, USAA, and Hasso Plattner Ventures and CloudScale Capital partners.

    web site: www.RobinSystems.comTwitter: twitter.com/RobinSystemsLinkedIn: www.linkedin.com/business/robin-systemsFacebook: www.fb.com/RobinSystems

    Robin methods, the Robin programs emblem and Robin Cloud Platform for industry applications and software-to-Spindle nice of carrier guarantee are logos or registered emblems of Robin systems, Inc., and are covered by route of trademark legal guidelines of the us and other jurisdictions. utter other product and company names are emblems or registered trademarks of their respective groups.

    Media Contact for Robin SystemsAndrea Corry(925) 640-5482press@robinsystems.com


    New IBM built-in Analytics gadget aspects IBM records Science experience, Apache Spark across clouds | killexams.com actual Questions and Pass4sure dumps

    IBM announced the integrated Analytics system, a brand recent unified statistics system designed to give users quickly, convenient entry to advanced information science capabilities and the capability to toil with their statistics across private, public or hybrid cloud environments.        

    The system, which comes with a variety of facts science outfit developed-in, makes it possible for records scientists to score up and operating to develop and deploy their superior analytics models in-location, at once where the information resides for improved performance.

    as it is based on the IBM regular SQL engine, purchasers can consume the system to movement workloads to the common public cloud to launch automating their groups with desktop discovering. in reality, since the database engine is used throughout each hosted and cloud-based mostly databases, users can circulation and question information across distinctive data stores, such as the Db2 Warehouse on Cloud or Hortonworks records Platform.

    at the coronary heart of the built-in Analytics gadget are the IBM data Science journey, Apache Spark and the Db2 Warehouse, utter of which were optimized to toil along with straight ahead management. The records Science undergo provides a collection of captious records science outfit and a collaborative toil space by which statistics scientists can create recent analytic fashions that builders can consume to build clever functions without retard and simply. The inclusion of open supply framework Apache Spark allows for in-reminiscence information processing, which speeds analytic functions by using allowing analytics to live processed directly where the records resides.

    The integrated architecture of the brand recent system combines utility enhancements similar to asymmetric vastly parallel processing (AMPP) with IBM energy® technology and gleam reminiscence storage hardware and builds on the IBM PureData gadget for Analytics, and the outmoded IBM Netezza data warehouse choices.

    It additionally helps a gross lot of facts forms and statistics services, including every thing from the Watson facts Platform and IBM Db2 Warehouse On Cloud, to Hadoop and IBM BigSQL. like these solutions, the built-in Analytics outfit is developed with the IBM commonplace SQL engine, enabling users to seamlessly integrate the unit with cloud-based warehouse options.

    moreover, industry measure tools and the ordinary SQL engine provide clients with an option to furthermore circulate these workloads seamlessly to public or deepest cloud environments with Spark clusters, in response to the user’s necessities.  

    New to this class of offering are the desktop studying capabilities that comprehend both the records Science undergo and Spark embedded on the device. Having computing device studying processing embedded potential that data doesn't exigency to live moved to the analytics processing, cutting back the associated strategies and wait times for analytics to flee and respond. This simplifies the technique of training and evaluating predictive models, as well because the trying out, deployment and training because it is utter carried out in-vicinity.

    “The amalgam of elevated efficiency and advanced analytics – from the information Science undergo to the open Spark platform – offers their industry analysts the means to habits violent information investigations without problems and pace,” notable Vitaly Tsivin, government vp, at AMC Networks, who has been testing the gadget for a number of months. “The built-in Analytics system is placed as an integral constituent of an industry statistics structure solution, connecting IBM Netezza facts Warehouse and IBM PureData device for Analytics, cloud-based Db2 Warehouse on Cloud clusters, and different records sources.”

    “today’s announcement is a continuation of their aggressive fashion to gain facts science and computing device studying more accessible than ever before and to advocate organizations like AMC, launch harvesting their massive information volumes – across infrastructures – for perception and intelligence,” observed Rob Thomas, regular supervisor, IBM Analytics.

    moreover, trade regular tools and the commonplace SQL engine deliver clients with an option to additionally stream these workloads seamlessly to public or inner most cloud environments with Spark clusters, in line with the person’s necessities.   

    Like IBM’s present data warehouse items, the built-in Analytics outfit is designed to give constructed-in statistics virtualization and compatibility with Netezza, Db2, and IBM PureData system for Analytics.

    among these capabilities, the recent gadget additionally accommodates hybrid transactional analytical processing (HTAP).

    In contrast to measure industry environments where transaction processing and analytics are flee on diverse architectures, HTAP runs predictive analytics, transactional and historical records on the identical database at accelerated response instances. Later this yr, the industry plans so as to add attend for HTAP with IBM Db2 Analytics Accelerator for z/OS, on the route to permit the outfit to transparently integrate with IBM z techniques infrastructures.


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    Test Code : 000-716
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    DB2 Data Warehouse Edition V9.1

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    A Product Overview of DB2 9 for Linux, UNIX, and Windows | killexams.com actual questions and Pass4sure dumps

    In this chapter you will live introduced to the DB2 family of products that flee on the Linux, UNIX, and Windows operating systems.

    This chapter is from the book 
  • DB2 PRODUCTS and PACKAGING
  • DB2 CONNECTIVITY
  • DB2 TOOLS
  • DB2 ADMINISTRATION
  • In this chapter you will live introduced to the DB2 family of products that flee on the Linux, UNIX, and Windows operating systems. This version of DB2 is often referred to as the distributed version to differentiate it from the DB2 for z/OS® version that runs on an IBM mainframe.

    DB2 has the competence to store utter kinds of electronic information. This includes traditional relational data, data encoded within XML as well as structured and unstructured binary information, documents and text in many languages, graphics, images, multimedia (audio and video), information specific to operations like engineering drawings, maps, insurance claims forms, numerical control streams, or any sort of electronic information. This chapter illustrates some of the ways to access data in a DB2 database using some of the interfaces provided within the DB2 family. A description of each of the DB2 products are provided to illustrate some of DB2's features and functions.

    The DB2 Data Server is an notable allotment of IBM's Information as a Service software portfolio that serves as the atomic flush for the broader IBM On require architecture.

    In pattern 1-1 you can note that the IBM software portfolio has really evolved into a collection of elevated value services provided by various IBM software portfolio offerings. The backbone fabric of this IBM reference architecture is the Enterprise Service Bus (ESB) that is used to facilitate communications across this rich set of services.

    Figure 1-1

    Figure 1-1 IBM Service Framework for an On require business

    IT Service Management is mostly provided by various Tivoli® products. The Tivoli portfolio is built around four key disciplines or pillars:

  • Security Management
  • Storage Management
  • Performance and Availability
  • Configuration and Operations
  • Services from these pillars can live used to collectively manage your entire IT framework. For example, Tivoli Storage Resource Manager services can live used enterprise-wide to monitor and report on heterogeneous storage resources to increase storage utilization, identify and resolve potential problems, and ensure application availability through policy-based automation.

    Development Services are the culmination of various Rational-based products that are built on the open source Eclipse platform. For example, Rational® ClearCase® provides source control services, and Rational Application development empowers application developers with a rich set of services that can live used to develop applications, Web pages, and extended custom services for implementation in a Services Oriented Architecture (SOA) or loosely coupled application framework.

    Services that enable interaction are typically allotment of the Lotus® suite of products that enhance collaboration and scheme sharing across the enterprise and beyond. Products like Lotus Sametime® Connect can live used for messaging and more.

    A number of services in the framework illustrated in pattern 1-1 are provided by the WebSphere® portfolio. For example, a product like WebSphere Integration Developer helps you define industry process flows in the measure industry Process Execution Language (BPEL), which are used to implement process services that in revolve attend you define, orchestrate, and automate industry policies. The Enterprise Service Bus (ESB) is provided by the WebSphere ESB product that provides your enterprise services with transformation, transport switching, and routing remediation among other services. Perhaps the most distinguished product of the WebSphere brand is the WebSphere Application Server that provides a runtime framework for J2EE®-based operations that are allotment of the Infrastructure Services component.

    Finally there's the Information Services which delineate the superset of the capabilities you'll learn about in this book. The specific set of services that are typically create in this allotment of the IBM reference architecture are shown in pattern 1-2.

    The services shown to the perquisite in pattern 1-2 are hierarchical in nature. In other words, as you toil from bottom to top, the services provided become richer and more industry oriented.

    For example, Master Data Management services are provided by the WebSphere Product hub and WebSphere Customer hub products. Master data are facts that characterize your core industry entities: customers, suppliers, partners, products, bill of materials, employees, and so on. The discipline of Master Data Management seeks to decouple master information from individual applications spread across the enterprise and create a central, application independent, resource. The discontinuance result is a simplification of ongoing integration tasks and recent application development. This discipline addresses key issues such as data trait and consistency proactively rather than "after the fact"; for example, in a data warehouse (a lower service in this taxonomy). There is furthermore a set of entity resolution services that meet within the Master Data Management service tier.

    Business Intelligence services are provided by the DB2 Data Warehouse editions that you'll learn more about later in this chapter. Content Manager services are provided by the set of Content Management products and are used for document management, archiving, regulatory retention, and are a basis by which unstructured information (such as FAXes, video, voicemail, and so on) can live searched and folded into the information asset.

    Information Integration services quest to provide enterprises with ways to share, place, publish, cleanse, and enrich data create in the lower-level data management services. WebSphere Federation Server and its parent WebSphere Information Server are two such products that attend implement these services.

    Finally, the Data Management services tier is the foundation upon which the other services are built. IBM has a number of data servers that meet into this tier, including DB2, Informix®, IBM Cloudscape™, U2, and IMS™.

    This book is specifically about DB2 in this service tier. Specifically, you'll learn how DB2 can provide any number of the high-value data-centric services shown in pattern 1-3.

    Figure 1-3

    Figure 1-3 The data services provided by DB2, the focus of this book

    For more information on the entire IBM software portfolio and how they are mapped to the illustrated services shown Figures 1-1 and 1-2, mention to the IBM Web site at www.ibm.com for more details.

    The DB2 family of data servers executes on Windows, Linux (which can live flee on the entire spectrum of IBM's hardware: System i™, System z™, System x™, and System p™), Solaris™ (both SPARC®-based and Intel®/AMD™-based installations), HP-UX™ (both PA-RISC™-based and Itanium-based installations), i5/OS®, VSE/VM, z/OS, and on pervasive platforms (like Windows Mobile Edition, BlueCat® Linux, Symbian®, Palm OS®, J2ME® platforms like the RIM® Blackberry®, and more).

    The DB2 code base is optimized for each platform to ensure maximum performance and integration. DB2 for Linux, UNIX, and Windows shares about a 98 percent common code base with platform-specific optimizations at the operating system interface (OSI) flush (Figure 1-4).

    Figure 1-4

    Figure 1-4 The DB2 code for Linux, UNIX, and Windows is virtually the same

    This means that once you've erudite how to administer a DB2 for AIX system, for the most allotment you'll know how to manage DB2 for Linux or DB2 for Windows; this is the reason why there is a sole DB2 certification for utter the distributed platforms.

    DB2 for i5/OS and DB2 for z/OS are optimized for their respective environments. For example, DB2 for z/OS is based on a shared-everything disk architecture where the hardware-assisted Coupling Facility is used to serialize access to the shared disk. No such hardware exists for Linux, UNIX, and Windows, and therefore DB2 on these platforms uses a shared-nothing architecture. For this reason, administration tends to vary between these platforms (though many concepts and features are similar). However, the SQL API is 98% common to utter the platforms where DB2 runs, allowing applications written on one platform to live easily ported to another. This means that you can build an application on DB2 for Windows and port it effortlessly to DB2 for z/OS. If you build your application according to the SQL Reference for Cross-Platform development handbook, your application will live 100% portable across the DB2 family.

    There are other synergies among DB2 running on Linux, UNIX, and Windows, as well as the other DB2 family members. For example, the JDBC driver used for DB2 for z/OS is exactly the identical code as is used for DB2 for Linux, UNIX, and Windows. So while there may live variations in specific data definition language (DDL)-based tasks, the data manipulation language (DML) and client APIs are similar.


    Information Builders Announces WebFOCUS for IBM System z Data Warehousing, a Special Edition of the WebFOCUS System z Product Line | killexams.com actual questions and Pass4sure dumps

    Information Builders, an independent leader in industry intelligence (BI) solutions, recently announced WebFOCUS for IBM System z Data Warehousing, a specialized edition of the WebFOCUS System z product line. It is designed to offer a powerful, flexible, secure, and cost-effective implement for System z users interested in implementing enterprise-scale data warehousing and BI solutions while leveraging IBM aboriginal z/OS and zIIP specialty engine capabilities.

    This offering complements IBM's Solution Edition for Data Warehousing to deliver a solid foundation for industry intelligence workloads.

    With thousands of recent devices being connected to the Internet daily, enterprises continue to face challenges in on-demand computing, while the exigency for real-time information has become mission critical. WebFOCUS for System z Data Warehousing enables big enterprise customers to scale data warehousing and reporting solutions to quickly and easily meet the needs of an unlimited number of discontinuance users with existing System z infrastructure -- at a fraction of the cost of traditional distribution systems.

    "In today's industry environment, IT organizations want to leverage their investments in existing infrastructure when implementing solutions," said Gerald Cohen, president and CEO of Information Builders. "WebFOCUS for System z Data Warehousing provides large-scale IBM customers, with a significant investment in z/OS operating systems, solutions to implement data warehousing and industry intelligence applications, avoiding the complexity and incremental hardware, software, and operational investments associated with distributed systems or dual-operating systems environments."

    When responding to information-on-demand challenges, data warehousing and reporting in any industry needs to scale reliably and live implemented cost effectively. WebFOCUS for System z Data Warehousing delivers on both accounts, providing users unparalleled reliability and scalability, while significantly lowering the total cost of ownership.

    WebFOCUS for System z Data Warehousing is a comprehensive suite of fully integrated implementation software products, which enable users of IBM's System z Solution Edition for Data Warehousing to design, build, deploy, and manage DB2-based enterprise data warehouses and BI applications at a fraction of the acquisition and operational costs. Users will furthermore profit from substantially lower total cost of ownership than comparable distributed systems or dual-operating environment solutions.

    WebFOCUS for System z Data Warehousing is comprised of two, fully integrated software components: Data Loader for DB2 and Data Reporter for DB2.

    Data Loader for DB2 is a specialized version of iWay Software's z/OS-based DataMigrator product, designed for optimal loading and management of IBM DB2 database data synchronization processes. Data Loader enables data warehouse implementers to load and synchronize DB2-based data warehouses on a batch, near real-time, or event-driven basis using more than 200 widely disparate databases, files, and application sources. Data Loader furthermore enables implementers to design, manage, and audit data synchronization using graphic tools and, as an option, apply service-based data trait and cleaning processes at any point in the data synchronization process.

    Data Reporter for DB2 is a specialized version of Information Builders' z/OS based WebFOCUS BI platform, designed for pile Internet-based BI applications or as a guided ad hoc query implement for businesses using a DB2 enterprise data warehouse. A highly graphic developer workbench enables developers to quickly and easily design, deploy, and manage Internet-based applications or query solutions for big or miniature user groups that don't require discontinuance user training or software licensing for each user.

    WebFOCUS for System z Data Warehousing uses a common server, metadata, and data access architecture aboriginal to the z/OS environment, dramatically reducing the design, implementation, and operational complexity of data warehousing and BI solutions. Additionally, it uses System z zIIP's exploitive capabilities, dramatically reducing the operational costs of data synchronization, operational reporting, and ad hoc queries, compared to the identical operations using System z generalized processors.

    "Having more partners like Information Builders helps their mutual clients bring more workloads to System z, ultimately enhancing the long-term economic value of the platform," said Tom Rosamilia, common manager of System z at IBM. "Data warehousing and industry intelligence are key growth areas for IBM clients as they attend glean disparate industry data into meaningful industry opportunities."

    WebFOCUS for IBM System z Data Warehousing is available now. Typical software configuration pricing is competitive and varies based upon the size of warehouse implementation. Special introductory pricing is furthermore available. For more information, contact your local Information Builders or IBM sales representative.

    This BeyeNETWORK word detail contains information from a recent press release by the company mentioned.


    IBM and Robin Systems proclaim a Joint Solution for the Containerized IBM Db2 Warehouse on Robin Cloud Platform | killexams.com actual questions and Pass4sure dumps

    March 20, 2018 09:00 ET | Source: Robin Systems

    SAN JOSE, Calif., March 20, 2018 (GLOBE NEWSWIRE) -- Robin Systems, the only container-based Application-Defined Infrastructure (ADI) software provider, today announced common availability of IBM Db2 Warehouse on Robin Cloud Platform. The containerized IBM Db2 Warehouse solution atop Robin Cloud Platform simplifies packaging and distribution to facilitate a loyal load-and-go data warehouse in a hybrid cloud architecture. 

    Robin Cloud Platform now has the broadest advocate of Enterprise Data Apps in the market and is the only solution that lets you partake resources across multiple applications and users while guaranteeing performance isolation. Robin is furthermore the only solution that slashes deployment, as well as management times from days to minutes. IBM® Db2 Warehouse (formerly dashDB™ Local) runs optimally using Robin Cloud Platform powered by and for container technology.  Packaging, portability and agility are built into the joint offering, showcasing how a data warehouse can live modernized and optimized by leveraging Robin’s Application-Defined Infrastructure (ADI).

    “Porting and modernizing an already mighty analytics solution to consume container technology is exciting and sets a elevated bar for other stateful data-heavy consume cases seeking modernization options. Their undergo shows cases where clients save up to 50% on the number of nodes, as well as gain significantly improved agility through blazing lickety-split deployments down from weeks and days to minutes, utter while guaranteeing performance (IOPS) in a shared multi-tenant environment,” said Premal Buch, Robin systems CEO.

    Robin Cloud Platform is a container-based absolute software solution that sits between the application and the infrastructure and enables 1-click application workflows for the user by letting the applications auto-configure storage, compute and networking across on-premise and cloud-based environments. It has leisure APIs and hooks to interface with the leisure of the ecosystem and requires no changes to the applications.

    “IBM® Db2 Warehouse (formerly dashDB™ Local) runs optimally using Robin Cloud Platform powered by and for container technology. Porting and modernizing an already mighty analytics solution to modern virtualization using containers is exciting word and is clearly encouraging for other consume cases exploring options for various stateful data-defined apps.” More from the IBM Team about IBM Db2 Warehouse on Robin Cloud Platform.

    The IBM® Db2 Warehouse is an measure solution in cases where control of data must live maintained in a multitenant environment or cloud like fashion. IBM® Db2 Warehouse and its software defined architecture makes it possible to maximize the resource pool usage along with the in-memory processing capability to deliver extremely lickety-split results as well as provide massively parallel processing (MPP) to attend scale out and scale up as require changes.

    Robin Cloud Platform is perfectly poised to package and optimize IBM® Db2 Warehouse with a simplistic approach to containerize, package and optimize deployments. Immediate benefits furthermore comprehend lickety-split time to market and the resultant cost savings. The competence to define once and flee anywhere comes in handy in the hybrid-cloud environment.

    Robin furthermore offers a 5-Day Free visitation Edition (FE) of it’s Enterprise Edition on AWS and a free fully featured Community Edition (CE) of its Cloud Platform for Enterprise Databases, Big-Data and NoSQL.

    Get Free Trail Edition (FE) or Community Edition (EE).

    About Robin SystemsRobin transforms the route enterprise applications drive the infrastructure by bringing together purpose-built container-aware obstruct storage with an application-aware manager into the cloud (private and/or public). This demonstrates unique benefits to distributed, clustered and stateful applications including Big-Data and Databases. With a team that includes industry veterans from leading enterprise technology companies such as NetApp, Oracle, and Veritas, Robin seeks to disrupt the $20 billion-plus virtualization market with its container-based compute and storage platform software that delivers better performance higher consolidation and a much simpler application lifecycle management than traditional hypervisor-based virtualization. Founded in 2013, the San Jose California-based company has raised more than $27 million in venture funding from leading investors such as transparent Ventures, DN Capital, USAA, and Hasso Plattner Ventures and CloudScale Capital Partners.

    Website: www.RobinSystems.comTwitter: twitter.com/RobinSystemsLinkedIn: www.linkedin.com/company/robin-systemsFacebook: www.facebook.com/RobinSystems

    Robin Systems, the Robin Systems logo and Robin Cloud Platform for Enterprise Applications and Application-to-Spindle trait of Service Guarantee are trademarks or registered trademarks of Robin Systems, Inc., and are protected by trademark laws of the United States and other jurisdictions. utter other product and company names are trademarks or registered trademarks of their respective companies.

    Media Contact for Robin SystemsAndrea Corry(925) 640-5482press@robinsystems.com



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    References :


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