Dataware House White Papers

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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

4 ways to use Hadoop for data warehouse optimization
sponsored by Talend
WHITE PAPER: This white paper describes how Hadoop can be used in data warehouse environments to reduce storage and processing costs and to improve the performance of reporting and analysis.
Posted: 17 Feb 2014 | Published: 30 Sep 2013

Talend

Architecting A Big Data Platform for Analytics
sponsored by IBM
WHITE PAPER: Business is now demanding more analytical power to analyze new sources of structured and multi-structured data. The IBM Big Data Platform rises to the challenge to create this new analytical environment, making IBM a serious contender to support end-to-end analytical workloads.
Posted: 14 Aug 2013 | Published: 31 Oct 2012

IBM

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.

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

Best Technology Infrastructure Provider to Sell Side Award
sponsored by IBM
WHITE PAPER: Consult the following white paper to gain access to an all-inclusive solution to agility. Discover how to enable millisecond answers, provide scalability to the client, and split second decision making within the realm of big data and analytics.
Posted: 27 Nov 2013 | Published: 27 Nov 2013

IBM

Red Hat JBoss Data Grid: The Perfect Solution for Big Data and Application Performance
sponsored by Red Hat
WHITE PAPER: Big data requires real-time access to data, scalability, and non-disruptive technology - qualities that relational databases just don't have. In this resource, discover how an in-memory data grid (IMDG) addresses the challenges posed by big data and application performance, and learn how one particular data grid can benefit your IT department.
Posted: 07 Jun 2013 | Published: 30 Jun 2012

Red Hat

The Mainframe as a Key Platform for Big Data and Analytics
sponsored by IBM
WHITE PAPER: Access the following white IDC research paper to uncover the requirements for a big data implementation and what you can do to successfully address the needs of BDA.
Posted: 19 Feb 2014 | Published: 19 Feb 2014

IBM

Building a Trusted SAP HANA Data Center
sponsored by Cisco and SAP
WHITE PAPER: In this comprehensive resource, explore a variety of hardware appliances that are SAP-approved as platforms for HANA. Discover how these appliances from Cisco, EMC, and VCE can benefit your SAP HANA implementation, and evaluate how they stack up against the five essential characteristics of a SAP HANA hardware platform.
Posted: 22 Apr 2014 | Published: 22 Apr 2014

Cisco and SAP

Data warehouse augmentation: the queryable data store
sponsored by IBM
WHITE PAPER: This white paper highlights how organizations can leverage big data to solve business challenges. It focuses on query-able data warehouses as a way to reduce costs and gain business insights. Discover how you can free up your data warehouse from processes slowing it down and disrupting revenue goals.
Posted: 06 May 2014 | Published: 31 Dec 2013

IBM