Software  >   Systems Software  >   Database Management Software  >  

Database Query Tools

RSS Feed    Add to Google    Add to My Yahoo!
Database Query Tools White Papers (View All Report Types)
 
Business Intelligence Query and Reporting: Gain insight and Outperform
sponsored by IBM
WHITE PAPER: This informative white paper captures how BI reporting technology addresses data-related demands faced by organizations. Read on to learn about how BI reporting capabilities can be used to answer critical business questions.
Posted: 07 Feb 2011 | Published: 07 Feb 2011

IBM

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

SAP Environment
sponsored by IBM Software Group
WHITE PAPER: This technical white paper highlights how new SAP technologies and IBM infrastructure components help customers achieve a scalable SAP NetWeaver based BI solution with strong performance and low total cost of ownership.
Posted: 03 Aug 2007 | Published: 01 Feb 2007

IBM Software Group

How To: Creating Content Packs
sponsored by VMware, Inc.
WHITE PAPER: In this detailed white paper, explore content packs, the information they store, and best practices for content pack creation within Log Insight 1.0.
Posted: 18 Oct 2013 | Published: 31 Aug 2013

VMware, Inc.

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

Getting Started With LucidWorks Enterprise
sponsored by Lucid Works
WHITE PAPER: This document provides a working knowledge of the LucidWorks Enterprise search development platform. Learn about installation, indexing content from local files, web sites, databases, searching, as well as improving the user experience using features such as user alerts, auto-complete and spell-check. Previous programming experience not required.
Posted: 18 Oct 2010 | Published: 18 Oct 2010

Lucid Works

Data Virtualization Platform Maturity Model
sponsored by Composite Software
WHITE PAPER: In an environment of ever evolving needs and solutions, enterprises and government agencies must select the right data virtualization offering to meet their needs. This Data Virtualization Leadership Series paper describes this model and how it can be used for both initial evaluation and on-going optimization of data virtualization platforms.
Posted: 31 Mar 2011 | Published: 01 Sep 2010

Composite Software

BDNA Normalize for SCCM: The End of Data. The Start of Information.
sponsored by BDNA
WHITE PAPER: Microsoft's System Center Configuration Manager (SCCM) helps administrators access and effectively control their IT systems and infrastructure. With BDNA Normalize for SCCM, IT professionals use advanced queries, collections and reporting features to automatically transform raw data into practical information without leaving the SCCM environment.
Posted: 24 Aug 2011 | Published: 23 Aug 2011

BDNA

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

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
 
 
Visit WhatIs.com - a knowledge exploration and self-education tool about information technology.

About TechTarget:

TechTarget provides enterprise IT professionals with the information they need to perform their jobs - from developing strategy, to making cost-effective IT purchase decisions and managing their organizations' IT projects - with its network of technology-specific Web sites, events and magazines

All Rights Reserved, Copyright 2000 - 2015, TechTarget | Read our Privacy Statement