 |
|
Results 1 - 25 of 27 matches |
Sort Results By : Published Date | Title | Company name |
|
|
|
|
Oracle Database 11g for Data Warehousing and Business Intelligence |
|
|
Businesses now demand more information, they want it sooner, and they are delivering more analytics to an ever-widening set of users and applications. The sizes of data warehouses are growing exponentially and more business processes are becoming automated, while more data is collected on more granular levels. 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.
Download Now
|
 |
|
|
|
|
|
|
|
Hard Hat Area: Myths and Pitfalls of Data Mining. |
| By : SPSS |
Published Date: Jun 30, 2009 |
|
The intrepid data miner runs many risks, including being buried under mountains of data or disappearing along with the "mysterious disappearing terabyte." This article outlines some risks, debunks some myths, and attempts to provide some protective "hard hats" for data miners in the technology sector.
Download Now
|
 |
|
|
|
|
|
The Saas Advantage for Producing Product Catalogs |
| By : Catapult |
Published Date: Apr 23, 2009 |
|
Software-as-a-Service is changing the way companies purchase technology solutions. Rather than securing large capital budgets and tying up IT labor for months, business executives can now address mission critical initiatives with subscription-based software solutions that scale with their business and can be implemented in little to no time.
Download Now
|
 |
|
|
|
|
|
|
|
Exclusive Interview: John Nydam & Tom Brennan |
|
|
Tom Brennan and John Nydam explain the Melissa Data and Stalworth partnership, discuss the business problems caused by bad data, and describe how DQ*Plus provides a complete data quality solution for enterprise applications and commercial databases.
Download Now
|
 |
|
|
|
|
|
SAS Grid Computing: Faster processing, increased resilience and improved hardware utilization |
| By : HP SAS |
Published Date: Oct 15, 2008 |
|
SAS Grid Computing delivers enterprise-class capabilities that enable SAS applications to automatically leverage grid computing, run faster and takes optimal advantage of computing resources. With grid computing as an automatic capability, it is easier and more cost-effective to allocate compute-intensive applications appropriately across computing systems. SAS Grid Manager helps automate the management of SAS Computing Grids with dynamic load balancing, resource assignment and monitoring, and job priority and termination management.
Download Now
|
 |
|
|
|
Quick sizing guide for SAS Grid running on HP BladeSystems and EVA Storage |
| By : HP SAS |
Published Date: Sep 24, 2008 |
|
Designed for CIOs, IT managers, data center managers and grid computing architects seeking to improve performance, SAS Grid Computing on the HP BladeSystem. C-Class helps accelerate growth and mitigate risks with a simplified, consolidated infrastructure that’s agile enough to efficiently handle change. SAS Grid Manager on HP BladeSystem can lower costs through automation, virtualization and improved IT efficiency. Download HP's "Quick Sizing Guide for SAS Grid running on HP BladeSystem and EVA Storage" to learn more about the equipment needs to deploy SAS Grid Manager on HP BladeSystem.
Download Now
|
|
|
|
|
Data Modeling: A Necessary and Rewarding Aspect of Data Management |
|
|
Data modeling has evolved from an arcane technique for database designers into an entire family of interrelated techniques that serves many constituencies, including techno-phobic business stakeholders and users. The new maturity of modeling tools and techniques arrives in the nick of time, because new technical and regulatory realities demand that enterprises maintain scrupulous awareness of their data and how it is used. Data modeling is no longer for databases only, no longer for technologists only, and no longer optional.
Download Now
|
 |
|
|
|
|
|
|
|
|
|
Why Migrate to HP Integrity Servers and Microsoft SQL Server? |
| By : HP |
Published Date: Aug 21, 2009 |
|
Microsoft Windows-based applications and data are growing in size and complexity, reaching the limits of their architecture and scalability. Download this whitepaper to read the benefits of updating database applications to the Microsoft SQL Server 2005 platform with the HP Integrity family of 64-bit servers.
Download Now
|
 |
|
|
|
|
|
|
|
|
|
Critical Success Factors Deploying Pervasive BI |
|
|
The goal of pervasive BI applications is to take the data that produced the back office ROI of more than 400% and deliver it to front-line employees in a form appropriate to their job functions – with similar results. There are thousands of business process steps in a typical enterprise where pervasive BI insights can be added. What are leading companies doing with pervasive BI?
Download Now
|
 |
|
|
|
The Location Intelligent Enterprise: Unlocking the Value of Location in Data |
| By : Quocirca |
Published Date: Oct 05, 2007 |
|
Knowledge of the location of customers, property, products or any other asset is invaluable intelligence for improving competitive advantage and operational efficiency. However, despite the proliferation of data that businesses generate today, the potential value of this location dimension is often overlooked in the business intelligence process.
Download Now
|
 |
|
|
|
|
|
Mashups: Understanding Mashup Building Platforms for Business Applications |
|
|
This paper explores trends past, current, and future in the mashup space and surveys the types of tools used to build and distribute mashups. The goal is to develop a set of criteria for the reader to use when evaluating mashup platforms for the development of business applications. Where appropriate, analogies to existing technologies and methodologies are employed.
Download Now
|
 |
|
|
| |
|
|
|
Results 1 - 25 of 27 matches |
Sort Results By : Published Date | Title | Company name |
