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Software Functionality Revealed in Detail
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 database normalization


Best Practices for a Data Warehouse on Oracle Database 11g
Companies are recognizing the value of an enterprise data warehouse (EDW) that provides a single 360-degree view of the business. But to ensure that your EDW

database normalization  Data Warehouse on Oracle Database 11g Best Practices for a Data Warehouse on Oracle Database 11g If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Oracle has been helping customers like you manage your business systems and information with reliable, secure, and integrated technologies. Source : Oracle Resources Related to Data Warehouse : Data Warehouse (Wikipedia) Best Practices for a Data Warehouse on Oracle Database 11g Data

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Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

Warehouse Management Systems (WMS)

A warehouse management system (WMS) should provide database and user-level tools in order for a company to optimize its storage facilities while at the same time providing user level task direction and activity support. The WMS should enable warehouse operators to optimize pick, put-away, and replenishment functions by employing powerful system logic to select the best locations and sequences. 

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Architecture-Centered Information Systems In The Manufacturing Domain - Part III - Steps in the Architecture Process


Architecture bridges the semantic gap between the requirements and software. Application software systems must be architected in order to deal with the current and future needs of the business organization. Managing software projects using architecture–centered methodologies must be an intentional step in the process of deploying information systems – not an accidental by–product of the software acquisition and integration process.

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SAP Bolsters NetWeaver's MDM Capabilities Part Two: xCat and SAP MDM


SAP purports that SAP MDM also lays the foundation for efficient and accurate exchange of cross-business information. Consumer products companies, for instance, can exchange timely product information with retail distributors, avoid costly inaccuracies, enhance merchandizing, and improve supply chain operations.

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TradeStone will introduce several planning capabilities that bind existing sourcing and order execution functionality, and featuring significant enhancements to the Finance and Logistics modules, with the idea of fostering rapid adoption and deployment across expanding supply chains.

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SAP HANA-One Technology to Watch in 2012 (and Beyond)


Did you know that SAP HANA is much more than a high-speed analytic appliance? TEC principal analyst P.J. Jakovljevic reveals how HANA is a universal database that will enable companies to analyze large volumes of operational and transactional information in real time, from virtually any data source, and that will eventually deliver an entirely new class of applications that will change the way people think, work, plan, and operate.

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What’s New in Microsoft SQL Server 2000


SQL Server 2000, the next major release of SQL Server 7, is Microsoft’s SQL 7 release of its database both re-architected and re-written. Microsoft has high hopes for the latest version in a market that was worth $8 Billion in 1999, an 18% increase over 1998. What remains to be seen is whether it will attract customers not already using SQL Server.

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HRp5


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TDWI Checklist Report: Analytic Databases for Big Data


Many organizations in today's “big data” world are contemplating a replacement of their analytic databases and data warehouses to keep pace with new requirements for advanced analytics, and they are turning more and more to specialized analytic database management systems (DBMSs). Within the DBMS arena, there’s a slow trend away from practicing analytics with relational DBMSs that were originally designed for OLTP and towards analytic databases that provide computing architectures designed for complex queries, analytic algorithms, high performance, and terabyte-size scalability. This TDWI Checklist Report presents requirements for analytic DBMSs with a focus on their use with big data, and defines the many techniques and tool types involved.

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SAP HANA: From Database to Platform


At the end of 2009, SAP launched SAP HANA, an in-memory, column-row based database management system with capabilities within both OLTP and OLAP environments. In June of 2012, SAP announced that HANA had become the fastest growing technology in the company’s history. In this report, TEC Senior BI and Data Management Analyst Jorge García gives an overview of the history, functionality, and benefits and challenges of SAP HANA, and explores SAP’s strategy for the product and its place in the in-memory processing product space.

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NCR's Teradata Database Meets Windows 2000. A Match Made in Redmond?


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QAD Enterprise Applications: Warehouse Management Systems (WMS) Competitor Analysis Report


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database normalization   Read More