Ad Hoc Query Tools Reports

How Pink OTC Markets Cuts Reporting Time and Operating Costs with a Market Data Warehouse Built on Vertica and Syncsort
sponsored by Vertica Systems
WHITE PAPER: Learn how Pink OTC Market Inc., the third largest U.S. equity trading marketing place,  built a highly available and reliable (no downtime in a year of production use) data warehouse using Vertica's Analytic DBMS that cost-effectively stores billions of records and scales easily by simply adding CPUs without incurring additional licensing fees.
Posted: 16 Jul 2010 | Published: 16 Jul 2010

Vertica Systems

Query Offloading for Improved Performance and Better Resource Utilization
sponsored by Oracle Corporation
WHITE PAPER: This white paper focuses on the use of a log-based, real-time change data capture (CDC) solution to enable real-time reporting using a low overhead solution that minimizes the impact on IT infrastructure.
Posted: 02 Feb 2010 | Published: 04 Jan 2010

Oracle Corporation

E-Guide: BI Management Best Practices
sponsored by Dell EMC and Microsoft
EGUIDE: Today’s business users demand faster access to real-time business intelligence (BI) data. Access this expert e-guide for advice on how to make BI systems faster, more responsive, and more effective, and discover how your peers have derived maximum value from growing data volumes and the challenges they experienced along the way.
Posted: 27 Jun 2012 | Published: 27 Jun 2012

Dell EMC and Microsoft

Introducing IBM's Balanced Warehouse
sponsored by IBM Software Group
WEBCAST: Data warehousing and business intelligence (BI) have evolved. Learn about a cost-effective data warehouse system with advanced analytics that delivers high performance and flexibility to address changing business needs.
Posted: 28 Nov 2007 | Premiered: Nov 1, 2007

IBM Software Group

Applying Business Analytics Webinar Series - Got Bad Data?
sponsored by SAS
WEBCAST: Tune in to this Webinar to find out how to improve key data areas through data quality profiling and provide decision makers with trustworthy information. You’ll learn how to apply analytics to your reliable, high-quality data and come away with insights that optimize your organization’s decision-making capabilities.
Posted: 09 Apr 2010 | Premiered: Apr 9, 2010

SAS

Top 10 Data Mining Mistakes
sponsored by SAS
WHITE PAPER: In the following paper, we briefly describe, and illustrate from examples, what we believe are the “Top 10” mistakes of data mining, in terms of frequency and seriousness. Most are basic, though a few are subtle. All have, when undetected, left analysts worse off than if they’d never looked at their data.
Posted: 07 Apr 2010 | Published: 07 Apr 2010

SAS

SAP NetWeaver Enterprise Search: Easy and Secure Information Access
sponsored by SAP*
WEBCAST: Learn how you can open up new ways to interact with business content and applications from across the enterprise with NetWeaver Enterprise Search.
Posted: 02 Aug 2007 | Premiered: Aug 2, 2007, 09:00 EDT (13:00 GMT)

SAP*

Guide: Enterprise Security Reporter
sponsored by ScriptLogic Corporation
WHITE PAPER: In large networks, the sheer number of permission settings makes it almost impossible to gain a clear overview of overall security, and checking that all those permission are in compliance with corporate and regulatory standards is a Herculean task.
Posted: 27 Aug 2009 | Published: 27 Aug 2009

ScriptLogic Corporation

Sybase IQ , A Competitive Analysis
sponsored by Sybase, an SAP company
WHITE PAPER: This paper, intended for both IT and operational management, explores a series of high-level best practices for analytics and data warehousing based on Sybase’s experience with successful implementations. Suggestions are provided in three categories: performance, cost control, and ease-of-deployment with each dimension broken down into sub-topics.
Posted: 28 Oct 2010 | Published: 28 Oct 2010

Sybase, an SAP company

Three Proven Methods to Achieve a Higher ROI from Data Mining
sponsored by IBM
WHITE PAPER: Access this white paper to learn the benefits of advanced data mining, including a greater return on investment. It offers practical guidance for incorporating additional data types and sources, expanding the scope of data mining projects and deploying results more effectively throughout your organization.
Posted: 22 Feb 2011 | Published: 22 Feb 2011

IBM