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Software Functionality Revealed in Detail
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 creating a data warehouse


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

creating a data warehouse  will only focus on creating the DATA diskgroup. In the simple RAC environment in Figure 1 each disk array has 16 physical disks. From these 16 disks, eight RAID 1 groups will be created (see Figure 2). Once the RAID groups have been established the ASM diskgroup DATA can be created. The ASM disk group will contain the eight RAID 1 pairs. When a tablespace is created ASM will allocate space in the diskgroup in 1MB chunks or allocation units in a round robin fashion. ASM starts each space allocation with a

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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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Documents related to » creating a data warehouse

The Data Warehouse Institute (TDWI) Conference in San Diego: The Agile Approach to Business Intelligence (BI)


Next month a TDWI World Conference will be taking place in San Diego, California. What’s so special about this conference anyway? The answer is simple:  the general topic is going to be “Creating an Agile BI Environment”. Progressively in the last four or five years, the agile software development methodology has been jumping from the software development area to the data warehouse

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Data, Data Everywhere: A Special Report on Managing Information


The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and extract useful information, is harder still. Even so, this data deluge has great potential for good—as long as consumers, companies, and governments make the right choices about when to restrict the flow of data, and when to encourage it. Find out more.

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A Road Map to Data Migration Success


Many significant business initiatives and large IT projects depend upon a successful data migration. But when migrated data is transformed for new uses, project teams encounter some very specific management and technical challenges. Minimizing the risk of these tricky migrations requires effective planning and scoping. Read up on the issues unique to data migration projects, and find out how to best approach them.

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Poor Data Quality Means A Waste of Money


Data quality sounds like a motherhood and apple pie issue, of course we want our data to be right. However, very few enterprises get serious about it. Maybe that's because the cost of data quality is hidden. That cost can be huge.

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PeopleSoft: No More a Humble Kid From a Rough Neighborhood?


PeopleSoft has been on a quest to dramatically improve its customer service & support by weeding out its 3rd-party consulting partners. PeopleSoft also has a new platform, a new set of products and a new surprising attitude of lambasting competition. Further, its financial results for the second quarter ended June 30, 2000 are upbeat.

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Creating a Business from a Project


Many software services companies are not able to turn their individual project successes into a line of business that brings in additional revenue streams. At the root of this is the simplistic assumption that "if you build, they will come."

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A Roadmap to Data Migration Success


Many large business initiatives and information technology (IT) projects depend upon the successful migration of data—from a legacy source, or multiple sources, to a new target database. Effective planning and scoping can help you address the associated challenges and minimize risk for errors. This paper provides insights into what issues are unique to data migration projects and to offer advice on how to best approach them.

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A Very Helpful Tool When You’re Choosing a New Software Solution


If you've ever been involved in selecting a business software solution, you know how tricky it can be. Today’s software systems are quite complex, and it can be very difficult to tell which vendor has the solution best suited for the special needs and business processes of your organization. One way to help avoid making a bad choice is to have a complete list of software functions to refer to.Let

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Baan Seeking A New Foster Home -- A Déjà vu Or Not Quite? Part Three: Market Impact and User Recommendations


Baan's focus on discrete manufacturing has not been a close fit with Invensys' plant automation products that have been geared mostly to process industries. To that end, Invensys has had a nightmarish job of trying to rationalize Baan and its process ERP counterparts, Protean and PRISM, development - strategy abandonment has been a catchphrase of late. Thus, while the savvy buyer will obtain much improved technology and large customer base in need for new products, the overriding problem has been the lingering negative sentiment around the company, as viability of the vendor is of utmost importance in the enterprise applications space.

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Linked Enterprise Data: Data at the heart of the company


The data silos of today's business information systems (IS) applications, and the pressure from the current economic climate, globalization, and the Internet make it critical for companies to learn how to manage and extract value from their data. Linked enterprise data (LED) combines the benefits of business intelligence (BI), master data management (MDM), service-oriented architecture (SOA), and search engines to create links among existing data, break down data walls, provide an open, secure, and long-term technological environment, and reduce complexity—read this white paper to find out how.

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