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Data Integration Checklist
sponsored by Talend
WHITE PAPER: This white paper provides a checklist with key functional requirements for implementing and deploying data integration for an enterprise.
Posted: 17 Jul 2014 | Published: 17 Jul 2014

Talend

Shift from data to insight: A new approach to business intelligence and analytics
sponsored by Hewlett-Packard Company
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 Company

MDM and Data Quality for the Data Warehouse
sponsored by Informatica
WHITE PAPER: This executive brief explains how the combination of master data management (MDM) and data quality (DQ) can significantly enhance the accuracy and reliability of data, enabling timely, confident decisions and accurate reporting.
Posted: 26 Mar 2014 | Published: 31 Dec 2013

Informatica

3 Must-Have Capabilities for Today's Warehouse Environments
sponsored by IBM
WHITE PAPER: You need to be able to store and analyze data as quickly as it's pouring into your business -- and that's pretty fast. Unfortunately, traditional data warehousing technologies aren't often up to the task. View this informative resource to get an in-depth look at three must-have capabilities for effective modern data warehouses.
Posted: 11 Dec 2013 | Published: 31 May 2013

IBM

ParAccel Analytic Platform: Analytic Offload
sponsored by ParAccel
WHITE PAPER: This informative white paper discusses a platform that offloads your analytics workloads to keep your BI performance at its highest potential, analytic reports produced when you need them as well as enhanced analysis and modeling.
Posted: 09 May 2012 | Published: 09 May 2012

ParAccel

Integrating Analytics into the Operational Fabric of Your Business
sponsored by IBM
WHITE PAPER: Read this paper by industry expert Dr. Barry Devlin and learn everything you need to know about operational analytics and how it can benefit your business. Discover its relationship to BI, how traditional data warehouse support it, its architectural advantages and so much more.
Posted: 29 Jun 2012 | Published: 18 Apr 2012

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

A New Dimension to Data Warehousing: 2011 IOUG Data Warehousing Survey
sponsored by Oracle Corporation
WHITE PAPER: A recent IOUG survey discovered that while most organizations have a well-established data warehouse, acceptance within their companies is still limited. Inside this exclusive study, learn how companies can start taking more advantage of their data warehousing systems to successfully manage the growing amounts of “big data".
Posted: 29 Jun 2012 | Published: 07 Sep 2011

Oracle Corporation

SQL Server 2012 Fast Track Data Warehouse on PowerEdge R720xd
sponsored by Dell and Microsoft SQL
WHITE PAPER: Read this white paper to learn how to configure your SQL Server data warehousing system to support growing online analytical processing (OLAP) loads while lowering costs, easing management, and improving performance.
Posted: 21 Jun 2012 | Published: 31 May 2012

Dell and Microsoft SQL

IBM Informix in hybrid workload environments (Bloor Research)
sponsored by IBM
WHITE PAPER: This white paper from Bloor Research examines how IBM's database Informix can be used in a hybrid transactional/analytics environment or for data warehousing applications in today's big data world.
Posted: 11 Dec 2013 | Published: 31 Aug 2012

IBM
 
 
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