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Tactical Data Warehouse Development

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Enterprise Data Management in an 'In-Memory' World
sponsored by SAS
WHITE PAPER: The following white paper explores the tactics, best practices, and architecture needed to make sure that your in-memory solution is running as smooth and efficiently as possible.
Posted: 23 Apr 2014 | Published: 23 Apr 2014

SAS

Reinsurance Group Optimizes Performance and Scalability for SAP HANA
sponsored by Hitachi Data Systems
WHITE PAPER: View this whitepaper now to see what solution ACR put into place to take advantage of this new integrated analytics environmnet, and the challenges the company overcame in regards to exponential data growth.
Posted: 18 Sep 2014 | Published: 31 Dec 2013

Hitachi Data Systems

The Economic Value of Data
sponsored by ComputerWeekly.com
ESSENTIAL GUIDE: Big data analytics promises to boost customer centricity and profitability for financial services firms, according to this report from Cognizant.
Posted: 17 Jun 2013 | Published: 17 Jun 2013

ComputerWeekly.com

New Data Warehousing Strategies for Big Data
sponsored by HP & Intel®
EGUIDE: High-volume unstructured data has its own set of characteristics that often make it too difficult for traditional standalone and relational databases to process.  As a result, a major shift in big data warehousing is taking place, and this expert e-guide will cover how to be successful in tackling the challenges of new warehousing strategies.
Posted: 12 Mar 2013 | Published: 12 Mar 2013

HP & Intel®

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

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

Big Data and Big Insights with Dell, SAP and Hadoop
sponsored by SAP America, Inc.
WEBCAST: Tune in to this live webcast on January 28, 2014 at 12:00 PM EST to learn about the needs of big data and how the SAP HANA platform gives you the power to store, process, and analyze growing data volumes with ease.
Posted: 13 Jan 2014 | Premiered: Jan 28, 2014, 12:00 EST (17:00 GMT)

SAP America, Inc.

Global Fashion Brand Finds Savings and Speed with Amazon Web Services for SAP
sponsored by Run E2E
CASE STUDY: Kenneth Cole Productions Inc. decided to take advantage of the scalability of cloud resources provided on demand by Amazon Web Services (AWS) and the self-service reporting of SAP BusinessObjects 4.0. Read this brief case study to learn about the combined Proof of Concept that completed these initiatives in three weeks for less than $500.
Posted: 01 Mar 2012 | Published: 01 Mar 2012

Run E2E

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

Understanding Oracle business intelligence and analytics
sponsored by ParAccel
EGUIDE: In this SearchOracle.com expert e-guide, read a Q&A that dives into the topics covered at the annual summit held this January by the business intelligence (BI) special interest group within the Independent Oracle Users Group (IOUG), including  advanced Oracle analytics, connectors to Hadoop, the R statistical programming language, and big data.
Posted: 17 Jan 2013 | Published: 10 Jan 2013

ParAccel
 
 
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