Ad Hoc Query Tools White Papers

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Sybase IQ: The Economics of Business Reporting
sponsored by Sybase, an SAP company
WHITE PAPER: Reporting is recognized as a way for companies to improve service, ensure quality, control costs, and prevent losses by empowering decision-makers throughout the organization. This paper will explain why reporting is one form of business intelligence that has become business-critical.
Posted: 31 Aug 2009 | Published: 01 Aug 2009

Sybase, an SAP company

Faster SQL Profiling for Better Database Performance
sponsored by Embarcadero Technologies, Inc.
WHITE PAPER: Find out how Embarcadero's DB Optimizer™ can help you to quickly discover and fix problematic SQL statements that can cause performance bottlenecks in your database. DB Optimizer™ gives you the flexibility of using a single easy-to-use IDE to test, profile and tune SQL.
Posted: 16 Apr 2009 | Published: 16 Apr 2009

Embarcadero Technologies, Inc.

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

XML: Changing the Data Warehouse whitepaper
sponsored by IBM
WHITE PAPER: Technical white paper covering the impact of XML on data warehousing and how to deliver new levels of business analysis and bring users closer to their data.
Posted: 17 Mar 2011 | Published: 17 Mar 2011

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

Comprehensive Data Warehousing & BI Solution with Oracle Database 11g
sponsored by Oracle Corporation
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: 15 Oct 2007 | Published: 01 Oct 2007

Oracle Corporation

New 11g Features in Oracle Developer Tools for Visual Studio
sponsored by Oracle Corporation
WHITE PAPER: The Oracle Developer Tools for Visual Studio is a free product that is available for download today from the Oracle Technology Network.
Posted: 19 Jan 2009 | Published: 19 Jan 2009

Oracle Corporation

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

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

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