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Tactical Data Warehouse Development

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The road to Hadoop
sponsored by IBM
EGUIDE: This e-guide highlights several popular Apache Hadoop use cases, and explores how organizations can leverage Hadoop to better prepare for long term big data analytics success.
Posted: 18 Dec 2012 | Published: 18 Dec 2012

IBM

Generating business value from Big Data
sponsored by IBM
EGUIDE: For high-end, challenging applications integrating business intelligence (BI) data with other information such as Internet clickstream and social networking data, the trend is shifting toward build in the buy vs. build data warehousing debate. Access this expert resource today to learn the drivers that are creating this new trend.
Posted: 21 May 2013 | Published: 21 May 2013

IBM

Discover the Total Economic Impact of Business Analytics on IBM Power Systems
sponsored by IBM
ANALYST REPORT: This report from the experts at Forrester Research investigates the financial impact and potential ROI of one analytics strategy.
Posted: 30 Oct 2013 | Published: 31 Mar 2013

IBM

7 must-have capabilities of big data DBMS
sponsored by IBM
WHITE PAPER: Companies are rushing to invest in big data analytics tools, but many forget about the underlying infrastructure that supports their big data efforts. In this informative white paper, learn why the right database management system (DBMS) could be the key to a successful big data analytics project.
Posted: 07 Apr 2014 | Published: 28 Feb 2014

IBM

SQL Server 2012 PolyBase for Parallel Data Warehouse
sponsored by HP
VIDEO: This brief video introduces SQL Server 2012 PolyBase for parallel data warehouse, which combines the relational database world with the world of unstructured data and Hadoop – allowing you to improve data-fueled decision-making.
Posted: 28 Oct 2013 | Premiered: 26 Feb 2013

HP

Presentation Transcript: Turning Data Into Insights: Make Your Data Smarter
sponsored by SearchCloudComputing.com
TRANSCRIPT: Access this presentation transcript to learn about an integrated data warehouse tool that can help you turn data into insight. Learn how you can bring together the disparate data within your organization and analyze it in order to fully leverage it to its full potential.
Posted: 18 Jul 2013 | Published: 18 Jul 2013

SearchCloudComputing.com

SearchBusinessAnalytics Tip Guide: Trouble spots: 'Big data' pitfalls in the data warehousing process
sponsored by Sybase, an SAP company
EGUIDE: This expert tip guide from SearchBusinessAnalytics.com is an excellent starting point on your quest to discover if you're equipped to handle the onslaught of big data. Take a few minutes to read this resource now and learn best practices to help you navigate the challenges associated with big data.
Posted: 21 Mar 2012 | Published: 20 Mar 2012

Sybase, an SAP company

Cisco Business Intelligence Appliance for SAP
sponsored by Cisco Systems, Inc.
WHITE PAPER: Read this paper to discover powerful, self-service business intelligence (BI) that helps you locate, evaluate, and use your crucial business information while minimizing the operational cost.
Posted: 22 Nov 2011 | Published: 22 Nov 2011

Cisco Systems, 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 InfoSphere Information Server for Data Warehousing
sponsored by IBM
VIDEO: IBM InfoSphere Information Server is a platform for data integration that fully supports the new requirements for data warehousing. InfoSphere Information Server delivers faster time to value, increases business confidence in information and provides a lower cost of ownership than older, more time-consuming approach
Posted: 21 Nov 2011 | Premiered: 21 Nov 2011

IBM
 
 
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