Database Query Tools White Papers

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Oracle Database 11g for Data Warehousing and Business Intelligence
sponsored by Oracle Corporation UK Ltd
WHITE PAPER: This white-paper provides an overview of Oracle Database 11g's capabilities for data warehousing, and discuses its key features and technologies. Discover how to integrate information, perform fast queries, scale to very large data volumes, and more.
Posted: 22 Oct 2010 | Published: 23 Sep 2009

Oracle Corporation UK Ltd

Oracle Exadata Storage Server X2-2
sponsored by Oracle Corporation
WHITE PAPER: Read this white paper and learn about the intelligent software in the Oracle Exadata Storage Server that accelerates database query processing (DQP) by offloading database query processing to the storage layer.
Posted: 12 Dec 2011 | Published: 12 Dec 2011

Oracle Corporation

Brochure: DB2 Analytics Accelerator for z/OS
sponsored by IBM
WHITE PAPER: Discover the new features and benefits of IBM DB2 Analytics Accelerator for z/OS version 4.1.
Posted: 24 Mar 2014 | Published: 31 Oct 2013

IBM

Comparison: IBM Netezza Data Warehouse Appliance vs. Oracle Exadata
sponsored by IBM
WHITE PAPER: This white paper offers up a comprehensive comparison of the Oracle Exadata and IBM Netezza data warehouse appliance, helping you decide which is the better fit for your business. Read this now and learn how they stack up in terms of online transaction processing (OLTP), query performance, simplicity of operation, value and more.
Posted: 30 May 2012 | Published: 18 Jan 2012

IBM

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

Ovum Technology Review of Vertica’s Analytic Database
sponsored by Vertica Systems
WHITE PAPER: Column-based databases can be slow deleting and updating data. Vertica’s Analytic Database is designed specifically for storing and querying large datasets. Vertica’s differentiator is that it combines a columnar database engine with MPP and shared-nothing architecture, aggressive data-compression rates, and high availability.
Posted: 16 Jul 2010 | Published: 16 Jul 2010

Vertica Systems

Selecting a Visual Analytics Application
sponsored by Tableau Software
WHITE PAPER: Visual analytics is the process of analytical reasoning facilitated by interactive visual interfaces. Its becoming the fastest way for people to explore and understand Business Intelligence data of any size. This paper will introduce you to the seven essential elements of true visual analytics applications.
Posted: 20 Apr 2009 | Published: 20 Apr 2009

Tableau Software

Choosing a Standard for BI and Reporting: Simplify the IT Environment Reduce Your TCO Increase Your ROI
sponsored by IBM
WHITE PAPER: The reasons driving standardization in BI and reporting are core to every company—cutting costs, boosting revenue, and increasing profits. IBM Cognos 8 BI lets business users move among capabilities in a guided way, get the answers they seek, and collaborate while giving IT complete control over the BI environment.
Posted: 05 Oct 2009 | Published: 05 Jan 2009

IBM

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

Advances in Data Warehouse Performance
sponsored by IBM
WHITE PAPER: Learn how DB2 can help you meet the demands of business intelligence by reducing query response time from hours to seconds, supporting real time data warehousing, and optimizing your storage while lowering operating costs.
Posted: 28 Nov 2007 | Published: 01 May 2007

IBM