Data Cleansing Software Reports

Hadoop Myths Busted
sponsored by Syncsort
EGUIDE: Consult this expert e-guide today to count down 12 common Hadoop myths and misconceptions, and gain the facts you need to drive big data success.
Posted: 10 Sep 2013 | Published: 10 Sep 2013

Syncsort

Windows Flash Array
sponsored by Violin Memory
PRODUCT OVERVIEW: Find out how your organization can utilize one product that offers superior performance and economics without having to change your existing IT resources.
Posted: 21 Oct 2014 | Published: 31 Jul 2014

Violin Memory

A New Dimension to Data Warehousing: 2011 IOUG Data Warehousing Survey
sponsored by Oracle Corporation
WHITE PAPER: A recent IOUG survey discovered that while most organizations have a well-established data warehouse, acceptance within their companies is still limited. Inside this exclusive study, learn how companies can start taking more advantage of their data warehousing systems to successfully manage the growing amounts of “big data".
Posted: 29 Jun 2012 | Published: 07 Sep 2011

Oracle Corporation

E-Book: Data Warehousing Technology Trends
sponsored by HP Inc
EBOOK: Technological innovations are rapidly changing data warehouse architectures and providing the potential for substantial performance improvements. Read this e-book to get an update on the most important trends in data warehousing, including appliance technology, columnar databases, in-database analytics and more.
Posted: 02 Dec 2010 | Published: 02 Dec 2010

HP Inc

Data Warehousing and Business Intelligence for IBM System z
sponsored by IBM
WHITE PAPER: Today, data warehousing and business intelligence are mission-critical functions for organizations of all types and sizes. IBM System z supports the entire data warehousing cycle, along with business intelligence software to deliver a total solution infrastruc­ture. Read this white paper to learn more.
Posted: 15 Jun 2010 | Published: 01 Jun 2008

IBM

3 Must-Have Capabilities for Today's Warehouse Environments
sponsored by IBM
WHITE PAPER: You need to be able to store and analyze data as quickly as it's pouring into your business -- and that's pretty fast. Unfortunately, traditional data warehousing technologies aren't often up to the task. View this informative resource to get an in-depth look at three must-have capabilities for effective modern data warehouses.
Posted: 11 Dec 2013 | Published: 31 May 2013

IBM

E-Guide: Data Warehousing in SQL Server Environments
sponsored by Dell EMC and Microsoft
EGUIDE: What's different about Microsoft's latest release, SQL Server 2012, that has midsize companies considering it for their big data analytics and data warehousing needs? Read this expert e-guide to find out. Also, find tips on choosing between SQL Server's native backup compression and third-party tools.
Posted: 27 Jun 2012 | Published: 15 Jun 2012

Dell EMC and Microsoft

SQL Server 2012 Fast Track Data Warehouse on PowerEdge R720xd
sponsored by Dell and Microsoft SQL
WHITE PAPER: Read this white paper to learn how to configure your SQL Server data warehousing system to support growing online analytical processing (OLAP) loads while lowering costs, easing management, and improving performance.
Posted: 21 Jun 2012 | Published: 31 May 2012

Dell and Microsoft SQL

Best practices in Oracle Data Warehousing
sponsored by ParAccel
EGUIDE: With its noninutrusive method, low-impact, real-time data integration software can liberate your systems from data extract processing batch windows for Oracle data warehousing and allow you to extract data at any time, even when users are online. Read this expert e-guide to learn more about real-time data collection for Oracle data warehouses.
Posted: 17 Jan 2013 | Published: 10 Jan 2013

ParAccel

Oracle Database 11g Release 2 for Data Warehousing and Business Intelligence
sponsored by Oracle Corporation
WHITE PAPER: 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.
Posted: 02 Feb 2012 | Published: 01 Apr 2011

Oracle Corporation