Download Data Virtualization for Business Intelligence Systems by Rick van der Lans PDF

By Rick van der Lans

  • ''This e-book for these in company and knowledge administration explains tips to use info virtualization in company intelligence structures… a few normal wisdom of information warehousing, enterprise intelligence, and database expertise is assumed.''--Reference and study e-book News, December 2012


Show description

Read Online or Download Data Virtualization for Business Intelligence Systems PDF

Similar storage & retrieval books

Data Compression for Real Programmers

In lifestyles, time is funds, and on the net, the dimensions of knowledge is funds. Small courses and small records take much less disk area and value much less to ship over the web. Compression Algorithms for genuine Programmers describes the elemental algorithms and methods for compressing details so that you can create the smallest documents attainable.

Artificial intelligence for maximizing content based image retrieval

The expanding pattern of multimedia facts use is probably going to speed up growing an pressing desire of offering a transparent technique of taking pictures, storing, indexing, retrieving, interpreting, and summarizing information via picture info. synthetic Intelligence for Maximizing content material dependent photo Retrieval discusses significant points of content-based snapshot retrieval (CBIR) utilizing present applied sciences and functions in the synthetic intelligence (AI) box.

Interactive Information Retrieval in Digital Environments

The emergence of the web permits hundreds of thousands of individuals to take advantage of numerous digital info retrieval platforms, reminiscent of: electronic libraries, net se's, on-line databases, and on-line public entry catalogs. Interactive info Retrieval in electronic Environments presents theoretical framework in knowing the character of data retrieval, and gives implications for the layout and evolution of interactive details retrieval platforms.

Learning OpenStack

Organize and continue your individual cloud-based Infrastructure as a carrier (IaaS) utilizing OpenStackAbout This BookBuild and deal with a cloud atmosphere utilizing simply 4 digital machinesGet to grips with obligatory in addition to not obligatory OpenStack parts and know the way they paintings togetherLeverage your cloud atmosphere to supply Infrastructure as a provider (IaaS) with this sensible, step by step guideWho This ebook Is ForThis ebook is concentrated in any respect aspiring directors, architects, or scholars who are looking to construct cloud environments utilizing Openstack.

Extra resources for Data Virtualization for Business Intelligence Systems

Sample text

All these components are described in the following sections. 1 The Data Warehouse Just like engines need gas to run, reporting and analytical tools need data to operate. Without data, these products have no value. So somehow these tools need access to the data gathered in production databases, because that’s where most of the available data needed by the users resides. 3). 3 The reporting tools are connected directly to the production databases. production databases reporting environment approach, although it seems attractive because of its simplicity, will not work in most organizations, for several reasons.

It is possible to store all the tables of the staging area, the data warehouse, and the data marts in one big database managed by one database server. Whether or not this is done is purely a technical issue determined by performance, scalability, availability, and security considerations. 6 Normalized Schemas, Star Schemas, and Snowflake Schemas Each data store has a schema. The definitions of all the tables with their columns, primary keys, and foreign keys form such a schema. For example, the schema of the sample WCM database consists of the definitions of tables such as CUSTOMER, CUSTOMER_ORDER, and DVD_RELEASE.

52 CHAPTER 2 Business Intelligence and Data Warehousing Classic reporting won’t help to determine the source of the problem. Reports created with those tools will show, for example, that the sales are behind, but not why. They are restricted to showing predefined reports, and if no report has been developed to answer this question, the manager won’t find the underlying problem. Analytical tools offer the manager features to view data from all angles and at each possible level of detail.

Download PDF sample

Rated 4.72 of 5 – based on 22 votes