Tactical Data Warehouse Development Reports

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.

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

Intel® Cloud Builders Guide: Cloud Design and Deployment on Intel® Platforms – Scale-out Storage with EMC* Atmos*
sponsored by Intel
WHITE PAPER: According to recent estimates, enterprise digital content will double in growth every year for the next 10 years. Access this exclusive resource to discover the key elements to designing and implementing a customized and integrated cloud storage solution.
Posted: 13 Jun 2011 | Published: 13 Jun 2011

Intel

E-Book: Getting Started with Master Data Management (MDM)
sponsored by IBM
EBOOK: In this E-Book, learn about getting started with MDM programs, including how to sell the idea internally in order to secure funding and how to build a foundation for a successful MDM deployment. In addition, read about MDM trends and some of the challenges that companies can face on MDM implementations.
Posted: 02 Dec 2010 | Published: 02 Dec 2010

IBM

7 Vital Tips for Video Meetings Sales Success
sponsored by IBM
WHITE PAPER: This brief by Gihan Perera, founder of First Step Communications, provides 10 practical tips for keeping control of your online meetings.
Posted: 24 Feb 2011 | Published: 29 Jan 2013

IBM

Developing a strategy for and implementing real time BI and analytics
sponsored by Birst
EGUIDE: Read this expert E-Guide and learn how to gain a stronger understanding of your customers and business as well as how to excel in today’s competitive market with real-time business intelligence (BI).
Posted: 12 Mar 2012 | Published: 09 Mar 2012

Birst

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

Hadoop Deployments: Maximizing Efficiency for Big Data Analytics
sponsored by IBM
EGUIDE: Many businesses recognize Hadoop as a premier cloud app framework, but they still don't know how to deploy Hadoop properly or prepare for its pitfalls. In this e-guide, we identify and explore some of the biggest Hadoop challenges. Find out how to resolve these issues and unlock the benefits of big data analytics.
Posted: 28 Jul 2016 | Published: 26 Jul 2016

IBM

Break the “Add More Nodes” Cycle: IBM Netezza data warehouse appliances allow your data infrastructure to scale
sponsored by IBM
WHITE PAPER: Data warehouse appliances have transformed the DW with a platform designed to deliver optimal price and performance with extreme simplicity. This paper outlines the IBM Netezza data warehouse appliance and how it offers extreme time to value, agility and ability to grow with new workloads, cost reduction of ongoing maintenance and more.
Posted: 05 Apr 2012 | Published: 14 Dec 2011

IBM

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