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Improving Intercompany Reconciliation for a Faster Close by SAP America, Inc.
June 02, 2009 - (Free Research)
What's arguably the single greatest barrier to the fast close has remained constant - the completion of the intercompany reconciliation process. This paper examines the issues behind intercompany reconciliation and outlines how companies can make impressive progress when they employ software solutions such as those from SAP Business Objects
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Best Practices for Implementing a High-Performance Data Warehouse by SAS Institute Inc.
December 31, 2012 - (Free Research)
There are more new forms of data today than ever before, and traditional business intelligence systems cannot always handle the amount of stress from this influx of information. Check out this white paper to discover a system known as 'high performance data warehousing' that can help you successfully analyze and glean insights from your big data.
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Warehouse Management Solutions: Embedded or Best-of-Breed? by Epicor Software Corporation
January 2006 - (Free Research)
Warehouse management solutions (WMS) help increase customer satisfaction, productivity and utilize resources. Learn cost factors and questions to ask that will help you decide between and embedded and stand-alone system.
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Best Practices for Implementing a Data Warehouse on Oracle Exadata Database Machine by Oracle Corporation
September 2010 - (Free Research)
By using the Oracle Exadata Database Machine as a data warehouse platform you have a balanced, high performance hardware configuration. This paper focuses on the other two corner stones, data modeling and data loading, providing a set of best practices and examples for deploying a data warehouse on the Oracle Exadata Database Machine.
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Best Practices for Implementing a Data Warehouse on Oracle Exadata Database Machine by Oracle Corporation
November 2010 - (Free Research)
By using the Oracle Exadata Database Machine as a data warehouse platform you have a balanced, high performance hardware configuration. This paper focuses on the other two corner stones, data modeling and data loading, providing a set of best practices and examples for deploying a data warehouse on the Oracle Exadata Database Machine.
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Best Practices for a Data Warehouse on Oracle Database 11g by Oracle Corporation
January 2009 - (Free Research)
In order to ensure the enterprise data warehouse will get the optimal performance and will scale as your data set grows you need to get three fundamental things correct, the hardware configuration, the data model and the data loading process.
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Which SAP® Warehouse Management Application is Right For You? by CDC Global Services - Catalyst
August 2011 - (Free Research)
This paper gives a current, detailed review of what's available within SAP Warehouse Management (WM), including core SAP ERP Central Component (ECC) functionality and new features in SAP Extended Warehouse Management (EWM). Read it to learn what's right for your organization, regardless of your size or industry.
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Best practices in Oracle Data Warehousing by ParAccel
January 2013 - (Free Research)
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.
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Comprehensive Data Warehousing & BI Solution with Oracle Database 11g by Oracle Corporation
October 2007 - (Free Research)
This white-paper provides an overview of Oracle Database 11g's capabilities for data warehousing, and discuses its key features and technologies. Discover how to integrate information, perform fast queries, scale to very large data volumes, and more.
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Oracle Database 11g Release 2 for Data Warehousing and Business Intelligence by Oracle Corporation
April 2011 - (Free Research)
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.
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New Data Warehousing Strategies for Big Data by HP & Intel®
March 2013 - (Free Research)
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.
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Warehouse management tips, techniques, and technologies by IQMS
September 2011 - (Free Research)
This eBook explains the benefits of warehouse management systems (WMSs) and how to boost their effectiveness through integration with related technologies, such as labor management systems (LMSs) and RFID.
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The Dirty little Secrets of the Warehouse Management Systems Industry by HighJump Software
May 2008 - (Free Research)
Read this white paper to learn five secrets you should know before you purchase a WMS. Guide your evaluation and selection processes in a way that best benefits your business, your customers and your long-term success and competitive advantage.
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E-Book: Business Intelligence Best Practices and Strategies in SAP Environments by IBM
December 2010 - (Free Research)
As companies look to get more value from their SAP application investments, BI is hot. But for SAP customers, it’s also a confusing area. In the e-book, readers will learn best practices for forming a BI strategy in SAP environments, including whether to stick with BEx and what to do with BW.
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To SAP or Not to SAP: BI and Data Warehouse Options for SAP Customers by IBM
July 2010 - (Free Research)
Read this presentation transcript in which speaker Steffen Vierkorn, Head of Research and Consulting for the Business Application Research Center – BARC GmbH, offers guidance to IT System Architects, outlining the pros and cons of architectural scenarios and how to best plan to transfer to a more open and enhanced BI environment.
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Oracle Exadata Database Machine Warehouse Architectural Comparisons by Oracle Corporation
February 2011 - (Free Research)
Exadata is Oracle’s fastest growing new product. Much of the growth of Exadata has come at the expense of specialized data warehouse appliance vendors. These vendors have published competitive comparisons to Exadata. Continue reading the learn more.
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Magic Quadrant for Data Warehouse Database Management Systems by Teradata
April 2011 - (Free Research)
The database warehouse DBMS market is evolving as needs change and demands for better, more efficent technology increase. With the competition for the next big database warehouse becoming more and more intense, vendors are stepping up their own marketing efforts. Because of this, it's important to know how to tell which system is right for you.
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E-Guide: Data Warehousing in SQL Server Environments by Dell and Microsoft
June 2012 - (Free Research)
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.
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Presentation Transcript: Unraveling the Data Warehouse Performance Traffic Jam by Teradata
December 2012 - (Free Research)
Today's data warehouse architectures can be highly-complex, expensive to maintain and overburdened by the increasing demand for advanced analytical workloads. Review this presentation transcript to learn the importance of deploying database technology that can handle mixed, shifting, and high-concurrency workloads, and more.
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Is a Data Warehouse the Only Option for Business Intelligence? by Information Builders Inc.
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October 2007 - (Free Research)
While data warehouses are important for many types of analytical systems, they aren’t always necessary. Building a data warehouse can dramatically increase the cost of a BI project. This paper describes data warehouses, along with many other options for placing relevant, timely information in the hands of business users.
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