Data Warehousing White Papers

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Driving information-led business innovation with IBM InfoSphere Information Server
sponsored by IBM
WHITE PAPER: This white paper identifies a shift in corporate thinking about the value of trusted information to the organization and outlines reasons why this shift is occurring. It explores common information integration challenges and outlines a list of key characteristics needed for an effective information integration solution.
Posted: 21 Nov 2011 | Published: 21 Nov 2011

IBM

Transactional Data: Driving Real-Time Business
sponsored by SAP America, Inc.
WHITE PAPER: In this white paper, learn key strategies to drive real-time business.
Posted: 12 Oct 2011 | Published: 12 Oct 2011

SAP America, Inc.

Data Warehousing 2.0- Modeling and Metadata Strategies for Next Generation Architectures
sponsored by Embarcadero Technologies, Inc.
WHITE PAPER: Read this white paper and learn how the data warehouse, metadata and modeling environment will be transformed in the next few years — and what you need to do to leverage it for your business, the major components of DW 2.0 architectures, and key modeling and metadata management strategies for DW 2.0.
Posted: 26 Jan 2012 | Published: 19 Jan 2012

Embarcadero Technologies, Inc.

Cost/Benefit Case for IBM PureData System for Analytics: Comparing Costs and Time to Value with Oracle Exadata Database Machine X3
sponsored by IBM
WHITE PAPER: In this white paper, see how expert solutions stack up and learn how to choose which hardware best suits your organization based on the nature of organizational informational architectures, trade-offs between compatibility with existing software and skills, the speed of new application deployment, and costs.
Posted: 22 Nov 2013 | Published: 31 Aug 2013

IBM

FAQ: Jump-start your big data journey with big data exploration
sponsored by IBM
WHITE PAPER: You know that there's a wealth of information to unlock inside "big data," but where do you start? Big data exploration allows you to navigate all potential data sources to determine how best to proceed. In this Q and A, learn how to plan and execute a big data exploration project, measure the business benefits of such a project, and much more.
Posted: 19 Jul 2013 | Published: 19 Jul 2013

IBM

Data Mart Consolidation
sponsored by Hexaware Technologies
WHITE PAPER: This white paper explores how Data Mart consolidation is an effective tool for saving money when dealing with large volumes of data.
Posted: 12 Sep 2011 | Published: 12 Sep 2011

Hexaware Technologies

IBM Informix Warehouse Accelerator
sponsored by IBM
WHITE PAPER: To improve the performance of data warehouse queries while minimizing manual tuning, DBAs can turn to the IBM Informix Warehouse Accelerator. Access this white paper to learn more about how fast response time generates quick answers, quick insights, and an agile business.
Posted: 29 Aug 2013 | Published: 31 Oct 2011

IBM

Best Practices for Implementing a Data Warehouse on Oracle Exadata Database Machine
sponsored by Oracle Corporation
WHITE PAPER: By using the Oracle Exadata Database Machine as a data warehouse platform you have a balanced, high performance hardware configuration. This paper focuses on the other two corner stones, data modeling and data loading, providing a set of best practices and examples for deploying a data warehouse on the Oracle Exadata Database Machine.
Posted: 12 Mar 2012 | Published: 30 Sep 2010

Oracle Corporation

IBM Cognos Data Manager
sponsored by IBM
WHITE PAPER: Access the following white paper to uncover how a data manager works seamlessly with your Cognos BI solution to help simplify the way your data is presented. Get a firsthand look at how simplification can effectively increase the performance of the end user and more.
Posted: 15 Jan 2014 | Published: 15 Jan 2014

IBM

Managing Big Data Using Sybase IQ VLDB Option
sponsored by Sybase, an SAP company
WHITE PAPER: This brief white paper outlines information lifecycle management (ILM), a set of strategies for managing the growth, storage and retrieval of information over its useful life. Its goal is to ensure that frequently accessed data is returned as fast as possible, while controlling storage costs.
Posted: 01 Dec 2011 | Published: 01 Dec 2011

Sybase, an SAP company