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Data-mart White Papers (View All Report Types)
 
Succeeding with Data Virtualization - High Value Use Cases for Operational and Data Management Data Services
sponsored by Denodo Technologies
WHITE PAPER: This paper discusses virtual data services for operational business processing and data management as well as successful virtualization use cases.
Posted: 30 Mar 2012 | Published: 30 Mar 2012

Denodo Technologies

Logs: Data Warehouse Style
sponsored by LogLogic, Inc.
WHITE PAPER: The LogLogic Log Management Data Warehouse enables organizations to centralize log data for easy, efficient access -- ensuring IT security, regulatory compliance, and operational efficiency.
Posted: 19 Sep 2008 | Published: 19 Sep 2008

LogLogic, Inc.

Data Mart Consolidation
sponsored by Hexaware Technologies
WHITE PAPER: This white paper explores how Data Mart consolidation is an effective tool for saving money when dealing with large volumes of data.
Posted: 12 Sep 2011 | Published: 12 Sep 2011

Hexaware Technologies

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

Microsoft® SQL Server® 2008 R2 Parallel Data Warehouse and Fast Track Data Warehouse Run on Intel® Xeon® Processors
sponsored by Intel and Microsoft
WHITE PAPER: Microsoft and Intel are now ready to help organizations turn a new page in data warehousing. Using Microsoft® SQL Server® 2008 R2 Enterprise, you can now quickly deploy small data warehouses or data marts with the Microsoft Fast Track Data Warehouse option.
Posted: 16 May 2011 | Published: 29 Mar 2011

Intel and Microsoft

Prepare for the Quantum Leap in Real-Time Analytics: How In-Memory Analytics is going to change everything about your enterprise
sponsored by SAP America, Inc.
WHITE PAPER: This paper discusses how the shift to in-memory analytics will make time-to-value in countless business decisions accelerate, changing the pace of adoption and integrated analytics within the enterprise. Learn how in-memory analytics is going to change everything about your enterprise.
Posted: 29 Aug 2011 | Published: 01 Sep 2011

SAP America, Inc.

Information is King: Business Analytics in the Age of the Downturn and the (Re)Emergence of the Customer
sponsored by SAS
WHITE PAPER: BusinessWeek Research Services (BWRS) launched a research program in April 2009 to determine the attitudes and opinions of C-level executives with regard to the use and value of business analytics. This paper reviews a portion of the research and provides analysis and insights on the topic of business analytics.
Posted: 07 Apr 2010 | Published: 07 Apr 2010

SAS

Orlin & Cohen Orthopedic Group Benefits from a 24x7 Managed Electronic Medical Records Database Architecture
sponsored by Cintra/Oracle
WHITE PAPER: In this white paper, learn how Orlin & Cohen overcame the challenges its legacy Windows-based Oracle standard Edition architecture and upgraded to an enterprise-class platform. Learn how they accomplished this without the typical cost and complexity associated with enterprise architecture but still gained high performance and reduced risk.
Posted: 07 Apr 2016 | Published: 07 Apr 2016

Cintra/Oracle

Architectural Choices for the HANA-Bound SAP Customer
sponsored by IBM
WHITE PAPER: This white paper takes an in-depth look at the architectural choices available to SAP customers who have decided to move to HANA. Learn now about the evolution toward HANA, its next stage, and the advantages behind certain partnerships.
Posted: 06 Apr 2016 | Published: 28 Aug 2015

IBM

Unifying Data Access across the Logical Data Warehouse
sponsored by IBM
WHITE PAPER: A single, enterprise data warehouse can't keep up with the increasing complexity of data and growing demands for analytics. Discover how you can unify data access across a logical data warehouse and give users the ability to easily, quickly combine data even if it's spread across various sources.
Posted: 20 Apr 2016 | Published: 30 Nov 2015

IBM
 
 
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