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P2090-045 IBM InfoSphere Information Server for Data Integration Fundamentals Technical

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P2090-045 exam Dumps Source : IBM InfoSphere Information Server for Data Integration Fundamentals Technical

Test Code : P2090-045
Test Name : IBM InfoSphere Information Server for Data Integration Fundamentals Technical
Vendor Name : IBM
: 55 Real Questions

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IBM IBM InfoSphere Information Server

IBM InfoSphere: Product Overview and perception

bottom line:

Any enterprise that uses other IBM database or analytics software is normally drawn to the IBM InfoSphere information Server. It’s a full-featured platform that unites information integration capabilities with information pleasant and statistics governance. Gartner estimates that about 10,seven-hundred organizations international use the product.

bounce to: IBM InfoSphere facets desk

enterprise Description:

headquartered in 1911, IBM is one of the largest, oldest, and most smartly-respected expertise agencies in the on the planet. Nicknamed massive Blue, the enterprise has its headquarters in Armonk, ny, and has greater than 380,000 personnel globally. last 12 months, it pronounced profits of $79.139 billion and web income of $5.753 billion. it is traded on the new york inventory change under the symbol IBM, and it's a element of the Dow Jones Industrial standard and the S&P 500.

https://o1.qnsr.com/log/p.gif?;n=203;c=204660772;s=9478;x=7936;f=201812281334210;u=j;z=TIMESTAMP;a=20403954;e=iThe enterprise presents a wide selection of different products and capabilities, together with mainframe methods, analytics, automation, blockchain, cloud computing, collaboration, IoT, IT infrastructure, mobility, protection and synthetic intelligence solutions. It serves shoppers in 177 distinct countries international. Product Description:

IBM obtained the ETL expertise that became the InfoSphere platform in 2005. these days, the business describes the IBM InfoSphere assistance Server as "a market-main statistics integration platform which comprises a family of items that enable you to bear in mind, cleanse, computer screen, radically change, and bring information, as well as to collaborate to bridge the gap between enterprise and IT."

InfoSphere's key capabilities include records integration, records first-rate and records governance. Its massively parallel processing offers fast performance and scalability, and it integrates with other IBM items for analytics, statistics warehousing, master statistics administration, and more. The software is attainable in 4 distinct variations: InfoSphere counsel Server for information Integration, InfoSphere suggestions Server for data satisfactory, InfoSphere assistance Server on Cloud and InfoSphere counsel Server commercial enterprise version, which provides conclusion-to-conclusion records management capabilities. IBM also offers a an integration platform as a carrier (iPaaS) answer known as utility Integration Suite on Cloud.

Gartner areas IBM within the Leaders quadrant for facts integration tools and the Visionary quadrant for iPaaS.

aspects: Deployment:

Cloud or on-premises

Licensing:

Proprietary

device necessities:

The on-premises edition of IBM InfoSphere guidance Server runs on Linux, home windows or AIX. accurate device necessities range in response to the measurement and scope of the deployment. In everyday, the server requires 2 GB to six GB RAM and three GB to five GB of cupboard space. The computing device client requires 2 GB RAM and 2 GB complicated pressure area. Some installations may additionally require processors with eight or more cores.

Connectors

InfoSphere counsel Server connects to most relational and mainframe databases, ERP, CRM, OLAP, performance administration and analytics purposes. Dozens of connectors are available for AWS, Cognos, Greenplum, Hive, DB2, Informix, Microsoft SQL Server, Oracle, Salesforce, SAP, Sybase, Teradata and many other applications.

Design and building environment:

IBM presents an internet-primarily based design interface known as DataStage circulation designer this is relevant for non-programmers. The on-premises version of DataStage also has a graphical interface with greater superior capabilities.

Key Capabilities
  • suggestions governance
  • data integration
  • statistics nice
  • Parallel processing
  • Hadoop support
  • Cloud guide
  • Native API connectivity
  • aid and services:

    working towards, certification, support and other skilled services available.

    Pricing:

    $7,800 per thirty days and up for the cloud edition of IBM suggestions Server. $2,750 per thirty days and up for the IBM software Integration Suite. Pricing for on-premises edition not obtainable.

    IBM InfoSphere points table

    points

    IBM InfoSphere

    Deployment

    Cloud or on-premises

    equipment necessities

     

    operating equipment

    Linux, windows, AIX

    Processor

    Some deployments require eight-core processors

    RAM

    2 GB to six GB

    Storage

    3 GB to 5 GB

    utility

    depends on deployment details

    Connectors

    AWS, Cognos, Greenplum, Hive, DB2, Informix, Microsoft SQL Server, Oracle, Salesforce, SAP, Sybase, Teradata, others

     

    Design and building environment

    graphic environment, web-based mostly or home windows thick customer

    Key Capabilities

     

    ELT

    sure

    ETL

    sure

    CDC

    sure

    records first-rate

    sure

    information Governance

    sure

    Others

    Parallel processing

    support and capabilities

    practicing, certification, aid and other expert services

    Gartner Magic Quadrant score

    leader (statistics integration); Visionary (iPaaS)

    expense

    $7,800 and up for cloud edition; pricing now not disclosed for on-prem edition


    IBM InfoSphere guidance Server eleven.5/eleven.7/12.1 back-conclusion Database sql injection

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    Frequentz Acquires IBM InfoSphere Traceability Server

    LOS ALTOS, Calif., Nov. 1, 2012 /PRNewswire/ -- Frequentz, a frontrunner in real-time traceability and information management application, has entered into an contract with IBM organization to acquire the assets and professional materials of IBM's InfoSphere Traceability Server (ITS) software. The transaction closed on September 30, 2012. financial terms were no longer disclosed.

    "we are very blissful with the deal reached with IBM and notice it as a chance to pressure business analytics built on serialized, event existence historical past.  buying the property and professional elements of IBM InfoSphere Traceability Server and mixing it with Frequentz's facts Traceability Server, shoppers will see extremely advanced capabilities within the areas of traceability, asset management, and statistics analytics," pointed out Michael Lucas, CEO of Frequentz.

    ITS with its ePedigree and Returnable Container administration (RCM) points might be built-in with Frequentz's statistics Traceability Server.  Frequentz will further support these elements and advance further applications, expanding serialized records analytics to distinctive market verticals.

    no matter if tracking the integrity of uncooked materials, monitoring quality assurance or performing evaluation on distribution, Frequentz's statistics Traceability Server offers an enormous trove of actionable intelligence. With the acquisition of the ITS software, Frequentz will now be able to give shoppers with potent expertise that permits perception into each point of their operation--from meeting compliance and first-rate-tuning business procedures, to improving client interactions.

    About Frequentz: Frequentz is a pacesetter in comprehensive traceability and tips administration applied sciences that enhance productiveness, product first-rate, and profitability. Its options provide helpful perception into end-to-conclusion deliver chains, and demanding company strategies by way of gathering, storing and analyzing serialized, existence history information. purposes of its application are presently used in the agricultural, pharmaceutical, retail, and car industries, and in pretty much a dozen nations international.

    For extra assistance seek advice from: www.frequentz.com, or contact Glen Wellbrock directly at 858.461.4417.

    supply Frequentz


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    14 top platforms for data integration

    Among its many Magic Quadrant reports, Gartner Research has looked at the leading platforms for data integration. The study categories each respective vendor as a leader, challenger, visionary or niche player.

    Written by analysts Mark A. Beyer, Eric Thoo, Mei Yang Selvage and Ehtisham Zaidi, the Magic Quadrant for Data Integration Products breaks down the leading offerings by Leaders, Challengers, Visionaries and Niche Players, depending on the overall strength of each product in the market.

    The Leaders

    “Leaders in the data integration tool market are front-runners in the capability to support a full range of delivery styles,” Gartner explains. “They have also recognized the growing affinity between data and application integration and are haltingly approaching location-agnostic. They are strong in establishing data integration infrastructure as an enterprise standard and as a critical component of modern information infrastructure. They support both traditional and new data integration patterns in order to capitalize on market demand. Leaders have significant mind share in the market, and resources skilled in their tools are readily available.”

    Informatica

    Based in Redwood City, California, Informatica offers the following data integration products: Informatics Platform (including PowerCenter, PowerExchange, Data Replication, Advanced Data Transformation, Ultra Messaging, B2B Data Transformation, B2B Data Exchange, Data Integration Hub), Informatica Data Services, Informatica Intelligent Cloud Services, Cloud Integration Hub, Big Data Management, Big Data Integration Hub, Informatica Intelligent Streaming, Informatica Intelligent Data Lake and Informatica Data Preparation. Informatica's customer base for this product set is estimated to be more than 7,000 organizations. Strengths are: “strong vision for product strategy across cloud and big data management”; “roadmap aligned with emerging trends and mulipersona demand”; and “broad market presence, global reach and mind share,” Gartner says.

    IBM

    Based in Armonk, New York, IBM offers the following data integration products: IBM InfoSphere Information Server Enterprise Edition, IBM InfoSphere Information Server Enterprise Hypervisor Edition, IBM InfoSphere Federation Server, IBM InfoSphere Data Replication, IBM Data Integration for Enterprise, and IBM Data Integration for Hadoop, IBM Big Insights BigIntegrate, IBM Streams and IBM Bluemix Data Connect(previously DataWorks). IBM's customer base for this product set is estimated to be more than 10,700 organizations. Strengths are: “innovation aligned with traditional and emerging market trends”; “global presence and mind share”; and “comprehensive portfolio meets integration demands across diverse personas,” Gartner says.

    SAP

    Based in Walldorf, Germany, SAP offers the following data integration products: SAP Data Services, SAP Replication Server, SAP Landscape Transformation Replication Server, SAP Remote Data Sync, SAP Data Hub, SAP Hana platform, SAP Cloud Platform Integration and SAP Event Stream Processor. SAP's customer base for this product set is estimated at more than 27,000 organizations. Strengths are: “solution strategy leverages product breadth”; “relevance for highly connected and distributed digital architecture”; and “synergy across data and application integration, governance and analytics solutions.” Gartner says.

    Oracle

    Based in Redwood Shores, California, Oracle offers the following data integration products: Oracle Data Integrator (ODI), Oracle Data Integrator Cloud Service, Oracle GoldenGate, Oracle GoldenGate Cloud Service, Oracle Data Service Integrator and Oracle Service Bus. Oracle's customer base for this product set isestimated at more than 10,800 organizations. Strengths are: “customer base directs product innovations”; “role and self-service support”; and “global partner network eases implementation worries,” Gartner says.

    Talend

    Based in Redwood City, California, Talend offers Talend Open Studio, Talend Data Fabric, Talend Data Management Platform, Talend Platform for Big Data, Talend Data Services Platform, Talend Integration Cloud and Talend Data Preparation. Talend's paying customer base for this product portfolio is estimated atmore than 1,500 organizations. Strengths are: “cost model and flexibility”; “integrated portfolio for data integration and interoperability with complementary technologies”; and “strength in core data integration capabilities and delivery for evolving trends,” Gartner says.

    SAS

    Based in Cary, North Carolina, SAS offers the following data integration products: SAS Data Management (including SAS Data Integration Server and SAS Data Quality), SAS Federation Server,SAS/Access interfaces, SAS Data Loader for Hadoop and SAS Event Stream Processing. SAS's customer base for this product set is estimated to be 14,000 organizations. Strengths are:“continued breadth (and integration nature) of offerings”; “embedded data integration for operational decisions”; and “interactive development.” Gartner says.

    The Challengers

    “Challengers are well-positioned in light of the key existing practices in the data integration tool market, such as the need to support multiple styles of data delivery,” Gartner says. “However, they may be limited to special technical environments or application domains. In addition, their vision may be affected by a lack of coordinated strategy across the various products in their data integration tool portfolio. Challengers generally have substantial customer bases, and an established presence, credibility and viability.”

    Microsoft

    Based in Redmond, Washington, Microsoft offers data integration capabilities via SQL Server Integration Services (SSIS), which is included in the SQL Server DBMS license. Microsoft also includes data integration as part of the Azure Data Factory. Microsoft SQL Server deployments are inclusive of SSIS for data integration(Microsoft does not report a special customer count for SSIS). Strengths are: “productivity and time to value”; “synergies among data, applications, business roles and artificial intelligence”; and “brand awareness and market presence,” Gartner says.

    Adeptia

    Based in Chicago, Illinois, Adeptia offers the Adeptia Integration Suite (AIS) and Adeptia Connect. Adeptia's customer base for this product set is estimated to be more than 550 organizations. Strengths are: “delivers core competency with an ESB”; “attractive pricing and flexibility”; and “performance, usability and integration platform as a service support,” Gartner says.

    Attunity

    Based in Burlington, Massachusetts, Attunity offers Attunity Replicate, Attunity Compose and Attunity Visibility. Attunity's customer base for this product set is estimated to be approximately 2,500 organizations globally. Strengths are: “strength and stability of targeted functionality”; “time to value”; and “aligned withmodern data integration approaches,” Gartner says.

    The Visionaries

    “Visionaries demonstrate a strong understanding of emerging technology and business trends, or focus on a special market need that is far outside of common practices while also being aligned with capabilities that are anticipated to grow in demand,” Gartner says. “They sometimes lack market awareness or credibilitybeyond their customer base or a single application domain. Visionaries may also fail to provide a comprehensive set of product capabilities — including those that focus on a single data integration style and simply import, export or leverage that primary functionality to create alternative outputs for transformed orintegrated data.”

    Denodo

    Based in Palo Alto, California, Denodo offers the Denodo Platform as its data virtualization offering. Denodo's customer base for this product set is estimated to be around 380 organizations. Strengths are: “strong momentum, growth and mind share within the data virtualization submarket”; “broad connectivity support and streaming support”; and “mitigation for traditional virtualization issues,” Gartner says.

    Cisco

    Based in San Jose, California, Cisco offers the Cisco Information Server (CIS). Cisco's customer base for this product set is estimated to be around 400 organizations. Strengths are: “strong roadmap for IoT integration use case”; “leverages brand and market presence on global scale”; and “established capability in data virtualization,” Gartner says.

    Information Builders

    Based in New York City, New York, Information Builders offers the following data integration products: the iWay Integration Suite (composed of iWay Service Manager and iWay DataMigrator) and iWay Universal Adapter Suite. Information Builders' customer base for this product set is estimated to be more than 840organizations. Strengths are: “positive customer experience”; “diverse data integration capability”; and “alignment with essential data management and integration needs,” Gartner says.

    The Niche Players

    “Niche Players have gaps in either, or both, their Completeness of Vision or Ability to Execute,” according to Gartner. “They often lack key aspects of product functionality and/or exhibit a narrow focus on their own architectures and installed bases. Niche Players may have good functional breadth, but a limited presence and mind share in this market. With a small customer base and limited resources, they are not recognized as proven providers of comprehensive data integration tools for enterprise-class deployments.”

    Actian

    Based in Palo Alto, California, Actian offers data integration capabilities via Actian DataConnect and Actian DataCloud. Actian's customer base for data integration tools is estimated to be approximately 7,000 organizations. Strengths are: “market presence”; “performance and manageability”; and “synergistic product strategy,” Gartner says.

    Pentaho

    Pentaho is a Hitachi Group Company with its global headquarters in Orlando, Florida, and worldwide sales based in San Francisco, California. Pentaho does not report customer counts for special products, but has more than 1,500 commercial customers. Strengths are: “broadening use-case-agnostic integration solution”;“experience in cloud, on-premises and hybrid”; and “market awareness of open source and roles,” Gartner says.

    Syncsort

    Based in Pearl River, New York, Syncsort offers DMX, DMX-h and Ironstream. Syncsort's customer base for this product set is estimated to be around 2,000 organizations. Strengths are: “attractive cost and low TCO”; “high performance ETL products”; and “improved position within the broader data management market,” Gartner says.


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    Is the Data Delivery Platform a Federated Architecture?

    In a number of articles published on BeyeNETWORK.com, I introduced, explained, and defined the data delivery platform (DDP). The DDP is a new architecture for developing business intelligence (BI) systems where data consumers are decoupled from the data stores. One of those articles included the definition for the data delivery platform:

    The data delivery platform is a business intelligence architecture that delivers data and metadata to data consumers in support of decision making, reporting, and data retrieval, whereby data and metadata stores are decoupled from the data consumers through a metadata-driven layer to increase flexibility and whereby data and metadata are presented in a subject-oriented, integrated, time-variant, and reproducible style.

    In addition to publishing articles on the data delivery platform, for the last twelve months I have presented the data delivery platform at many events and conferences. Those publications and presentations led to quite a number of reactions. And, as can be expected, there were many positive and a few somewhat less positive reactions. But there was one issue that kept coming back: Is the data delivery platform a federated architecture and/or is it the same as a federation server? Therefore, to avoid confusions and misconceptions in the future, this article tries to clarify the relationship between, on one hand, the data delivery platform and, on the other hand, the federated architecture and the federation server. Note that federation servers are sometimes called enterprise information integration (EII) tools.Comparison with the Federated Architecture Some data warehouse specialists classify the data delivery platform as a federated architecture, which, in a way, is correct. In a federated architecture, a set of possibly heterogeneous data stores are presented to data consumers as one logical data store. To the data consumers, it looks as if they have logged on to one large database. Without knowing it, they can join data from those different data stores. This is what the DDP tries to do as well: multiple data stores are federated into one logical data store. However, this is not the only feature of the DDP, it’s just one. So, the DDP can be a federated architecture, but a federated architecture does not automatically adhere to the definition of the DDP.

    I say that the DDP “can be” a federated architecture and not that it “is” a federated architecture. Imagine that a DDP-based system is developed right on top of one data store, and that data stores holds all the data needed by the data consumers. In that case, they do have the decoupling of data stores and data consumers, but there is no federation. So, the data delivery platform doesn’t have to be a federated architecture, but in most cases it will be.

    Sometimes you hear the claim that in a federated architecture, the only data stores accessed are production databases. In his article What a Data Warehouse is Not, Bill Inmon writes about a speaker at a conference who claims exactly that: “…a data warehouse was really all the old legacy systems connected by software that could access the data.” If that’s the meaning of the term federated architecture, then the DDP should not be classified as one! The DDP does not dictate what type of data stores are accessed. Those data stores can be production databases, but also data warehouses, operational data stores, and data marts.

    Comparison with the Federation Server Next, how does the DDP compare to a federation server? A federation server is a tool that technically links a number of data stores together and makes them accessible as one integrated data store. With a federation server, they can develop a federated architecture. Today there are many federation servers available on the market. Here are just a few (in alphabetical order): Composite Information Server, Denodo Platform, EntropySoft Content Federation Server, IBM InfoSphere Information Integrator, Informatica On-demand Integration, Information Builders EII, Oracle BI Server, Software AG Information Integrator, SQLstream EII, and XAware XA-iServer.

    So, a federation server is a specific type of tool. That means that a comparison with the DDP wouldn’t make sense, because the latter is a business intelligence architecture – it’s a set of guidelines for developing business intelligence systems, and it’s not a solution by itself. A federation server, on the other hand, is not an architecture, but a tool that can be used to develop a business intelligence system. It would be like comparing a blueprint of a building with the type of concrete used for the foundation of that same building.

    Note that what applies to a federated architecture also applies to a federation server: it does not matter whether a database accessed by a federation server is a production database, a data warehouse, or a data mart. For such a tool, a database is a database.

    Although they can’t compare the DDP with a federation server, a relationship between them does exist, because the functionality offered by federation servers does resemble the core functionality of the DDP. The expectation is that federation servers will form the heart of many DDP-based business intelligence systems that will be developed the coming years. Some of these products have been around for quite a number of years and are definitely mature enough. In fact, organizations are employing these products today, even in very large environments.

    If they look at the current features of federation servers, a DDP requires more functionality than these products can offer today. Let’s describe some of these omissions.

    First of all, most of the federation servers support only one query language. In most cases, it’s SQL and sometimes XQuery; quite often, MDX is not supported, which is unfortunate, because MDX is pretty popular in the business intelligence space. A requirement of the DDP is that different query languages can be used.

    Secondly, some federation servers or federation technologies don’t support an open API. These tools can only be accessed by reporting and analysis tools developed by that same vendor. Many BI tools support some kind of semantic layer that is metadata-driven and that hides the structure and the technical details of the underlying data stores. In a way, that layer operates as a federation server. However, most of them have a proprietary API. This means you can’t develop reports using tools from other vendors that access the data through the layer and reuse the metadata specifications. The DDP requires that any tool from any vendor should be able to access all the data stores. Only then will they be able to share specifications.

    A third omission is that not all forms of metadata are handled by most federation servers. In most tools, only technical metadata is stored and can be queried. A DDP also requires that business and operational metadata is stored and that those forms of metadata are accessible by users and can be used by all kinds of tools.

    A fourth omission is that most federation servers only support the pull model. They have not been designed to support pushing data from the data stores to the data consumers. More and more database servers appear on the market that make this push model possible, such as IBM InfoSphere Streams, Streambase, and Microsoft Insight (which is expected to be released in 2010 together with SQL Server 2008 R2).

    But the most important omission is that some federation servers have limited decoupling capabilities. Imagine that a particular report has to be changed; it might well be that the structure of the data store has to be changed accordingly to make the report change possible. Or, imagine that they want to move data from a relational data store to an MDX-based data store in the hope to improve query performance. Most federation servers will demand that if that change takes place, the reporting tool switches from using SQL to MDX as well. The reason for this demand is simple: they can’t translate SQL to MDX. And replacing all the SQL code by MDX code is a major undertaking. And they are assuming that the federation servers support MDX, which most of them don’t.

    Note that these omissions should not stop organizations from adopting the DDP. As indicated, they can develop business intelligence systems using federated servers today. As they all know, it’s quite easy to sit at your desk and come up with a perfect set of features for tools. It’s another story if you are a vendor and you have to implement those features.

    Summary To summarize, the DDP can be classified as a federated architecture (but only if a federated architecture does allow the access of all types of data stores, including data warehouses and data marts). But to say that they can develop a perfect DDP purely by using a current federation server is an oversimplification. If you want to develop a DDP right now using one of the commercially available federation servers, there is a big chance you will still need to develop some extra functionality yourself – maybe you’ll have to combine two federation servers, or perhaps you’ll have to extend it with some additional tools. In a nutshell:

    DDP-based business intelligence system = federation server++

    Hopefully, the vendors of federation servers will see the advantages of the DDP for developing business intelligence systems and they will understand the need for the extra features described herein. It might make them decide to upgrade their products soon.
  • Rick van der LansRick van der Lans

    Rick is an independent consultant, speaker and author, specializing in data warehousing, business intelligence, database technology and data virtualization. He is managing director and founder of R20/Consultancy. An internationally acclaimed speaker who has lectured worldwide for the last 25 years, he is the chairman of the successful annual European Enterprise Data and Business Intelligence Conference held annually in London. In the summer of 2012 he published his new book Data Virtualization for Business Intelligence Systems. He is also the author of one of the most successful books on SQL, the popular Introduction to SQL, which is available in English, Chinese, Dutch, Italian and German. He has written many white papers for various software vendors. Rick can be contacted by sending an email to rick@r20.nl.

    Editor's Note: Rick's blog and more articles can be accessed through his BeyeNETWORK Expert Channel.

  • Recent articles by Rick van der Lans



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