Tactical Data Warehouse Development Reports

Delivering Trusted Information for Big Data and Data Warehousing
sponsored by IBM
WHITE PAPER: This resource examines how an integration and governance strategy can help you deliver trusted information for big data and data warehousing. Read on to learn how you can set the stage for more effective, reliable decision-making.
Posted: 18 Dec 2013 | Published: 31 Dec 2012

IBM

Case Study: Hy-Vee Boosts Performance, Speeds Data Delivery, and Increases Competitiveness
sponsored by HP Inc
CASE STUDY: In this case study, discover how Hy-Vee, a growing grocery store chain, implemented a new data warehouse in order to give their employees faster access to customer purchasing data, and learn the benefits they currently experience from this technology.
Posted: 29 Oct 2013 | Published: 31 May 2013

HP 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

Data Mart Consolidation
sponsored by Hexaware Technologies
WHITE PAPER: This white paper explores how Data Mart consolidation is an effective tool for saving money when dealing with large volumes of data.
Posted: 12 Sep 2011 | Published: 12 Sep 2011

Hexaware Technologies

Oracle Exadata Online Forum
sponsored by Oracle Corporation
INFORMATION CENTER: Access this Oracle Exadata Online Forum, where Oracle executives, customers, and industry experts come together to share what extreme performance really means for your business.
Posted: 18 Feb 2011 | Published: 18 Feb 2011

Oracle Corporation

Data Warehousing 2.0- Modeling and Metadata Strategies for Next Generation Architectures
sponsored by Embarcadero Technologies, Inc.
WHITE PAPER: Read this white paper and learn how the data warehouse, metadata and modeling environment will be transformed in the next few years — and what you need to do to leverage it for your business, the major components of DW 2.0 architectures, and key modeling and metadata management strategies for DW 2.0.
Posted: 26 Jan 2012 | Published: 19 Jan 2012

Embarcadero Technologies, Inc.

Harness Your Data for Better, Faster Decision-Making
sponsored by Dell Software
WHITE PAPER: In this new Dell white paper, learn about the challenges of data warehouses. Then, discover a powerful data warehouse appliance that can be quickly deployed, loads data almost immediately and helps eliminate the challenges of traditional data warehouse strategies. Download this valuable white paper today.
Posted: 10 May 2013 | Published: 10 May 2013

Dell Software

New Data Warehousing Strategies for Big Data
sponsored by HP & Intel®
EGUIDE: High-volume unstructured data has its own set of characteristics that often make it too difficult for traditional standalone and relational databases to process.  As a result, a major shift in big data warehousing is taking place, and this expert e-guide will cover how to be successful in tackling the challenges of new warehousing strategies.
Posted: 12 Mar 2013 | Published: 12 Mar 2013

HP & Intel®

Rapid Deployment and Expansion: Business Analytics and Data Warehousing on System z
sponsored by IBM
WHITE PAPER: The following white paper addresses the challenges with expansion and how to overcome them. Discover cost-effective ways to choose from turn-key deployment and keep pace with the rapid growth of user data.
Posted: 12 Nov 2013 | Published: 12 Nov 2013

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