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Comparing ERP And WMS Approaches For Effective Warehouse Management Operations by HighJump Software
November 09, 2011 - (Free Research) The effective management of your warehouse and fulfillment/distribution operations is critical to the ongoing success of your business—but you’re unsure whether to select your ERP’s warehouse module or a best-of-breed warehouse management system (WMS). This paper will help determine which type of solution is the best fit for your business.
Top Nine Reasons To Replace Your Current Warehouse Management System by HighJump Software
November 09, 2011 - (Free Research) This report will identify nine telltale signs you should consider replacing your warehouse management system (WMS). As a result, you will be better able to analyze the operational factors influenced by your own WMS and gauge how an inflexible or legacy system could be constraining your company’s growth and global reach.
Top Considerations For Warehouse Management In The Cloud by HighJump Software
November 09, 2011 - (Free Research) Read this paper to learn four solid reasons why putting your warehouse management system in the cloud may make the most sense for your business – and how it can affect your bottom line with a faster return on investment.
Top 5 Tips For Evaluating And Selecting Warehouse Management Software by HighJump Software
November 09, 2011 - (Free Research) This report will reveal five secrets you should know before you purchase a WMS. They will help guide your evaluation and selection processes in a way that best benefits your business, your customers and your long-term success and competitive advantage.
Warehouse management tips, techniques, and technologies by IQMS
September 05, 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.
A Low Cost Data Warehouse Using SQL Server 2008 by Dell, Inc., Microsoft and AMD
July 29, 2009 - (Free Research) This paper outlines different considerations for separating decision support systems (DSS) from Transaction Processing (OLTP) environments and touches upon technical procedures for achieving the same, as well as examines data warehouse solutions, different storage topologies, storage interface optimizations and much more.
Oracle Database 11g for Data Warehousing and Business Intelligence by Oracle Corporation
September 30, 2009 - (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.
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.
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.
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.
Quickcast: From Data Warehousing to Insights - Enterprise Analytics by IBM
July 2011 - (Free Research) Learn how the NYSE manages more that one Petabyte of data on Netezza and they run applications such as tracking the value of a listed company, performing trend analysis and searching for evidence of fraudulent activity, which was simply unachievable on their old data warehouse.
ITG Management Brief: Cost/Benefit Case for Enterprise Warehouse Solutions by IBM
September 2011 - (Free Research) Data warehousing has emerged as one of the IT world’s fastest growth areas. Demand for high-quality, current information and for tools to interpret and exploit it shows no signs of abating. The report provides an in-depth comparison of three platforms designed for this purpose.
IBM Smart Analytics Systems vs Oracle Exadata X2-2 (Bloor Research) by IBM
March 2011 - (Free Research) Philip Howard, IT analyst with Bloor Research in the U.K., provides a comprehensive comparison of IBM and Oracle systems for data warehousing. In his review, he examines many aspects of IBM Smart Analytics System and Oracle Exadata 2-2 to determine which approach (Oracle's one-size-fits-all vs IBM's workload optimization) is best.
How to Leverage Oracle GoldenGate with MySQL Databases by Oracle Corporation
December 2011 - (Free Research) This brief white paper outlines the different capabilities and properties of MySQL and Oracle GoldenGate, including real-time data warehousing, real-time reporting, OLTP query offloading and more.
SAP NetWeaver BW Archiving with Nearline Storage (NLS) and Optimized Analytics by Dolphin
October 2011 - (Free Research) This white paper presents a case study for (nearline storage) NLS optimized for analytics using columnar database architecture and outlines how a NLS solution makes it possible for IT departments using SAP NetWeaver BW to manage costs, reduce overhead and increase system performance.
Sun SPARC Enterprise Servers Systems and Resource Management by Oracle Corporation
June 2010 - (Free Research) Oracle’s Sun SPARC Enterprise servers are designed specifically as general-purpose application, database, data warehousing, and consolidation servers. They are especially suited to address the needs of enterprise datacenters, with a goal of increasing performance and flexibility while consolidating systems to reduce datacenter costs and complexity.
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