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Data Cleansing Software

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A Better Way to Build a Data Warehouse for SAP Data
sponsored by Teradata
VIDEO: Access this in-depth webinar to hear from Teradata expert Neil Raden as he exposes a better way to build a data warehouse for your SAP data. Listen as he explores existing solutions and challenges for those hoping to leverage their SAP data for business intelligence and analytic purposes.
Posted: 27 Mar 2015 | Premiered: 27 Mar 2015

Teradata

Big Data Analytics
sponsored by ComputerWeekly.com
ANALYST REPORT: IDC explores the initial impact that Big Data is having on organisations, its impact on IT architectures, delivery models and future roadmaps.
Posted: 21 Sep 2012 | Published: 21 Sep 2012

ComputerWeekly.com

E-Guide: Real-world Big Data strategies for analytics
sponsored by ParAccel
EGUIDE: When dealing with large-scale data how you do know what data is worth analyzing? Read this E-Guide to find out how other companies are sifting through their data to get huge business benefits.
Posted: 10 Nov 2011 | Published: 10 Nov 2011

ParAccel

E-Guide: BI Technologies in SQL Server 2012
sponsored by Dell and Microsoft
EGUIDE: Are the new big data analytics and business intelligence (BI) features in SQL Server 2012 worth the cost of an upgrade for your organization? Is SQL Server's native backup compression or a third-party product best suited to your data warehousing needs? Read this e-guide to find expert advice on both of these questions.
Posted: 27 Jun 2012 | Published: 15 Jun 2012

Dell and Microsoft

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

TechTarget Solution Spotlight: Big Data Challenges & Pitfalls
sponsored by IBM
EGUIDE: Access this expert e-guide to get real-world strategies and advice on how best to manage your big data warehousing and processing, and common pitfalls to avoid.
Posted: 05 Dec 2014 | Published: 05 Dec 2014

IBM

UCHC Leverages Enterprise Job Scheduling to Automate Data Integration Processes
sponsored by Cisco Systems, Inc.
CASE STUDY: Thinking of launching a data warehousing project? Learn how the University of Connecticut Health Center (UCHC), a leading biomedical research center, healthcare facility, and medical school, achieved end-to end automation of data integration and data loading processes from internal and external data sources to ensure consistent, accurate reporting.
Posted: 24 Jan 2012 | Published: 24 Jan 2012

Cisco Systems, Inc.

E-Guide: Building an Effective BI Strategy
sponsored by Dell and Microsoft
EGUIDE: This e-guide discusses how to effectively take advantage of business intelligence (BI) technologies in your organization by utilizing essential tactics. Discover the benefits of data warehousing appliance technologies and how to select the best one for your needs.
Posted: 28 Jun 2012 | Published: 28 Jun 2012

Dell and Microsoft

Research report: SAP's Business Suite on Hana Will Significantly Impact SAP Users
sponsored by Hewlett-Packard Limited
WHITE PAPER: The following report from Gartner Research Inc. explores in detail the implications that face the business and its leaders in regards to the shift. Find out the various impacts of SAP HANA as well as top recommendations to make this transition as smooth as possible.
Posted: 13 Mar 2014 | Published: 13 Mar 2014

Hewlett-Packard Limited

Architecting A Big Data Platform for Analytics
sponsored by IBM
WHITE PAPER: Business is now demanding more analytical power to analyze new sources of structured and multi-structured data. The IBM Big Data Platform rises to the challenge to create this new analytical environment, making IBM a serious contender to support end-to-end analytical workloads.
Posted: 14 Aug 2013 | Published: 31 Oct 2012

IBM
 
 
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