Tactical Data Warehouse Development Reports

Best Practices for Implementing a High-Performance Data Warehouse
sponsored by SAS
WHITE PAPER: There are more new forms of data today than ever before, and traditional business intelligence systems cannot always handle the amount of stress from this influx of information.  Check out this white paper to discover a system known as 'high performance data warehousing' that can help you successfully analyze and glean insights from your big data.
Posted: 11 Apr 2013 | Published: 31 Dec 2012

SAS

How Eliminating SAN from your Oracle Data Warehouse can Increase Performance
sponsored by Dell, Inc. and Fusion-io
CASE STUDY: In this paper, a business intelligence provider for the semiconductor industry eliminated SAN from its Oracle data warehouse to increase their average performance 5 to 10 fold.
Posted: 29 May 2014 | Published: 29 May 2014

Dell, Inc. and Fusion-io

Best practices in Oracle Data Warehousing
sponsored by ParAccel
EGUIDE: With its noninutrusive method, low-impact, real-time data integration software can liberate your systems from data extract processing batch windows for Oracle data warehousing and allow you to extract data at any time, even when users are online. Read this expert e-guide to learn more about real-time data collection for Oracle data warehouses.
Posted: 17 Jan 2013 | Published: 10 Jan 2013

ParAccel

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

Presentation Transcript: Turning Data Into Insights: Make Your Data Smarter
sponsored by TechTarget Cloud Computing
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

TechTarget Cloud Computing

Presentation Transcript: Unraveling the Data Warehouse Performance Traffic Jam
sponsored by Teradata
PRESENTATION TRANSCRIPT: Today's data warehouse architectures can be highly-complex, expensive to maintain and overburdened by the increasing demand for advanced analytical workloads. Review this presentation transcript to learn the importance of deploying database technology that can handle mixed, shifting, and high-concurrency workloads, and more.
Posted: 07 Dec 2012 | Published: 07 Dec 2012

Teradata

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

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

Presentation Transcript: Big Data and Data Warehousing
sponsored by SAP America, Inc.
PRESENTATION TRANSCRIPT: Wayne Eckerson introduces big data and the issues involved in warehousing it as well as an overview of data warehouse architectures for storing big data.
Posted: 02 Nov 2011 | Published: 02 Nov 2011

SAP America, Inc.

IBM: What we learned from data marts and consolidation
sponsored by IBM
INFORMATION CENTER: This blog post takes a closer look at data marts and how data warehouses evolved from them. Learn about the pros and cons of this technology as well as trends to expect for the future.
Posted: 26 Jul 2011 | Published: 18 Apr 2011

IBM