Data Warehousing White Papers

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Oracle: Big Data for the Enterprise
sponsored by Oracle Corporation
WHITE PAPER: By using the Oracle big data appliance with Oracle Exadata, enterprises can acquire, organize and analyze all their enterprise data to make the most informed decisions.
Posted: 12 Dec 2011 | Published: 12 Dec 2011

Oracle Corporation

IBM InfoSphere Optim Data Growth Solution for Application Retirement
sponsored by Advent Global Solutions Inc.
WHITE PAPER: This white paper discuses the benefits of consolidating data and retiring (or decommissioning) redundant or older systems to improve overall operational management costs.
Posted: 22 Dec 2011 | Published: 22 Dec 2011

Advent Global Solutions Inc.

Fast-Tracking Data Warehousing & BI Projects via Intelligent Data Modeling
sponsored by Embarcadero Technologies, Inc.
WHITE PAPER: In this white paper, you will learn intelligent data modeling practices to design and deliver superior business intelligence (BI) faster, the characteristics and benefits of intelligent data modeling and how to promote the use of data models to fast-track data warehouse and BI projects.
Posted: 26 Jan 2012 | Published: 19 Jan 2012

Embarcadero Technologies, Inc.

IBM PureData System for Analytics
sponsored by IBM
WHITE PAPER: A new, cost-effective, entry-level appliance, powered by Netezza technology. Learn about this high-performance, scalable, hardware accelerated, massively parallel system that can help you gain insight into your volumes of data.
Posted: 22 Nov 2013 | Published: 22 Nov 2013

IBM

Boost the Value of Information With Master Data Management
sponsored by Information Builders
WHITE PAPER: This paper explains master data in more detail, offers guidance for planning a master data management (MDM) plan and focuses on aligning IT with your business needs.
Posted: 05 Dec 2011 | Published: 05 Dec 2011

Information Builders

Ziff Davis: Maximizing Performance and Minimizing Cost with Interactive Business Intelligence
sponsored by IBM
WHITE PAPER: View this white paper to learn how IT decision makers can drive faster analytics over large data volumes in a data warehouse. It outlines how you can give end users the ability to have a more interactive analysis using online analytical processing (analysis.)
Posted: 10 Apr 2013 | Published: 10 Apr 2013

IBM

Maintaining Optimal Data Warehouse Performance
sponsored by HP Inc
WHITE PAPER: This brief resource offers insight into the HP AppSystem for Microsoft SQL Server 2012 Parallel Data Warehouse. Inside, learn how this tool, jointly engineered with Microsoft for data warehouse and business intelligence (BI) requirements will help you make key business decisions more quickly.
Posted: 29 Oct 2013 | Published: 31 May 2013

HP Inc

Shift from data to insight: A new approach to business intelligence and analytics
sponsored by Hewlett Packard Enterprise
WHITE PAPER: To fully realize the value of all the data available, companies need to take a more scientific, collaborative approach to business intelligence (BI). In this helpful resource, learn about a relationship-based approach to BI and analytics that realigns key responsibilities to better match the needs of your enterprise.
Posted: 28 Jun 2013 | Published: 31 Jul 2012

Hewlett Packard Enterprise

Go from analysis to action on your desktop: IBM Cognos Insight guides business analysts to faster, better outcomes
sponsored by IBM
WHITE PAPER: Today, business need a fast and simple way to analyze data. Unfortunately, many users have limited access to the information they need. Consult this resource to find out how a personal analytics tool can help improve your employee performance. It explains several beneficial applications and the new opportunities they will provide.
Posted: 15 Jul 2013 | Published: 15 Jul 2013

IBM

Maximizing the Value Provided by a Big Data Platform (Branham Group)
sponsored by IBM
WHITE PAPER: This paper focuses on finding the value within big data and offers advice for delivering deeper insight to decision-makers and management. Also, discover how leading companies are benefiting from the recent emergence of MapReduce and real-time analytics.
Posted: 13 Aug 2012 | Published: 01 Jun 2012

IBM