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. 

Watch this brief videocast now and learn how a data warehouse accelerator can offer your organization the ability to run consistently complex queries at real-time speeds to help you swiftly decipher patterns, predict future trends and adjust your business climate accordingly, eventually handing you the edge over any and all competitors. 

Big data can present big problems. Just ask expert Wayne Eckerson, who takes some time in this first installment of a two-part video series to discuss the common issues surrounding the management of big data growth in a data warehouse. Learn why big data is more pivotal than ever, how you can gain a competitive advantage by analyzing it and more. 

While data warehouses are important for many types of analytical systems, they aren’t always necessary. Building a data warehouse can dramatically increase the cost of a BI project. This paper describes data warehouses, along with many other options for placing relevant, timely information in the hands of business users. 

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. 

This white paper provides an overview of Oracle's capabilities for data warehousing, and discusses the key features and technologies by which Oracle-based business intelligence and data warehouse systems easily integrate information, perform fast queries, scale to very large data volumes and analyze any data. 

Access this brief resource for an informative overview of the HP's Business Data Warehouse Appliance. 

This paper examines cloud computing models for data warehousing and the differences between public versus private clouds. 

The inaugural issue of BI Trends & Strategies offers sound advice to help you in ensuring your organization is on track to keep up with the rapidly changing landscape of BI and analytics. In this issue, readers will learn about a big data definition and the impact it will have on BI and data warehousing, agile development methodology and more. 

This TDWI Checklist Report makes a case for private database clouds, especially as a platform for consolidated BI and DW applications. 

This informative paper describes a way to offload your complex workloads to a platform designed for delivering unconstrained analytics in order to improve data processing and stay on top of your business operations. 

Organizational trust in data may be the single largest barrier to business intelligence (BI) success in the health care industry today. Access this resource to learn how an automated enterprise job scheduler and automated process optimization tools can ensure that your data is accurate and consistent. 

<p class="Default">Since BI tools are critical to the success of your organization, securing an effective, well-executed process for BI data integration should be a top priority. Access this expert e-guide for tips and techniques on data integration.</p>