New PDF release: Data Virtualization for Business Intelligence Systems:

By Rick van der Lans

Data virtualization may help accomplish your objectives with extra flexibility and agility. study what it's and the way and why it may be used with Data Virtualization for company Intelligence Systems. during this booklet, professional writer Rick van der Lans explains how information virtualization servers paintings, what ideas to exploit to optimize entry to varied info resources and the way those items could be utilized in several initiatives. you will study the adaptation is among this new type of information integration and older varieties, equivalent to ETL and replication, and achieve a transparent figuring out of the way facts virtualization quite works. Data Virtualization for company Intelligence structures outlines the benefits and downsides of information virtualization and illustrates how facts virtualization could be utilized in info warehouse environments. you are going to come away with a entire knowing of the way facts virtualization will make facts warehouse environments extra versatile and the way it make constructing operational BI purposes more straightforward. Van der Lans additionally describes the connection among info virtualization and similar subject matters, corresponding to grasp info administration, governance, and data administration, so that you come away with a big-picture realizing in addition to the entire sensible information you must virtualize your info.

  • First self reliant booklet on info virtualization that explains in a product-independent approach how facts virtualization know-how works.
  • Illustrates recommendations utilizing examples constructed with commercially to be had items.
  • Shows you ways to unravel universal information integration demanding situations similar to info caliber, method interference, and performance through following useful guidance on utilizing info virtualization.
  • Apply information virtualization without delay with 3 chapters packed with sensible implementation suggestions.
  • Understand the large photo of knowledge virtualization and its courting with info governance and knowledge administration.
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Additional info for Data Virtualization for Business Intelligence Systems: Revolutionizing Data Integration for Data Warehouses

Example text

It can keep track of historical data and so on, but those are not the primary goals for developing a data warehouse. Occasionally, one encounters the term enterprise data warehouse.

After being part of IBM DB2 Information Integrator, DataJoiner is currently called IBM InfoSphere Federation Server, and EDA/ SQL has been renamed to iWay Data Hub and is part of Information Builders’ Enterprise Information Integration Suite. XSLT: Due to the success of XML, more and more data in organizations and on the Internet is available in the form of XML documents. To transform the structure of XML documents, a standard language was invented in 2000 called XSLT. The language is managed by the W3C standardization organization.

For example, if we define that the Northern Sales Region doesn’t include the Washington State, each and every tool that accesses the data virtualization server can use that same specification, whether it’s Excel, JasperSoft, or SAS Analytics. This improves the maintainability of the environment, but it also minimizes the chance that users using different tools see inconsistent results. 11 Other Forms of Data Integration With data virtualization, data can be integrated, but it’s not the only solution for integrating data from different data stores.

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