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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.
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 data warehouse appliance


Teradata Debuts Data Warehouse Appliance: In-memory Tech Ready for High-performance Analytics
During the Teradata Partners User Group Conference, the data warehouse and analytics company launched Teradata Data Warehouse Appliance 2750, which integrates

data warehouse appliance  Debuts Data Warehouse Appliance: In-memory Tech Ready for High-performance Analytics During the Teradata Partners User Group Conference, the data warehouse and analytics company launched Teradata Data Warehouse Appliance 2750 , which integrates the enterprise data warehouse application with in-memory technology, especially designed for processing advanced analytics. Teradata’s new appliance incorporates the company’s latest “intelligent” in-memory technology as well as the most recent

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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 » data warehouse appliance

Teradata Extreme Data Appliance


Teradata Extreme Data Appliance analyzes massive amounts of big data and leverages Teradata technology at the lower cost per unit of data that matches your volume-based value needs. This purpose-built data appliance allows you to gain deep strategic insights from extremely large amounts of detailed big data and supports very high-volume, non-enterprise data/analysis requirements for a small number of power users in specific workgroups or projects that are outside of your enterprise data warehouse.    

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About Big Data


There may not be a consensus with respect to just how big "big data" is, but not many people will disagree that managing these huge amounts of data represents a challenge. TEC research analyst Jorge Garcia discusses the key issues surrounding big data, the different ways to manage it, and the major vendors offering big data solutions.

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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 performs and scales well, you need to get three things right: the hardware configuration, the data model, and the data loading process. Learn how designing these three things correctly can help you scale your EDW without constantly tuning or tweaking the system.

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Teradata Launches Big Analytics Appliance


Teradata, a provider of data warehouse and analytics solutions, has released a new appliance designed specifically to manage big-data projects by integrating Apache Hadoop and Teradata Aster into a single appliance. Scott Gnau, president of Teradata Labs, said: The Teradata Aster Big Analytics Appliance offers the faster path from diverse big data acquisition to big insights, and

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Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations


While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as organizations seek to store and analyze greater levels of transaction details, as well as Web- and machine-generated data, to gain a better understanding of customer behavior and drivers. This report examines the rise of "big data" and the use of analytics to mine that data.

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RAPid Data Analytics Platform


RAPid Data Analytics Platform is a business intelligence (BI) platform that combines data management and analytics in a single, cloud-based environment for smarter, faster, more insightful business decisions.

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Guidelines for Specification of Data Center Power Density


Conventional methods for specifying data center density don’t provide the guidance to assure predictable power and cooling performance for the latest IT equipment. Discover an improved method that can help assure compatibility with anticipated high-density loads, provide unambiguous instruction for design and installation of power and cooling equipment, prevent oversizing, and maximize electrical efficiency.

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Data Security Is Less Expensive than Your Next Liability Lawsuit: Best Practices in Application Data Security


Insecure data. Heavy fines due to non-compliance. Loss of customers and reputation. It adds up to a nightmare scenario that businesses want to avoid at all costs. However, this nightmare is preventable: knowledge base-driven data security solutions can be critical tools for enterprises wanting to secure not only their data—but also their status in the marketplace.

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Data Integration: Creating a Trustworthy Data Foundation for Business Intelligence


Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting requirements. This paper discusses the importance of data integration and helps you identify key challenges of integrating data. It also provides an overview of data warehousing and its variations, as well as summarizes the benefits and approaches to integrating data.

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Data Storage in the Cloud-Can you Afford Not To?


Storing data in the cloud using Riverbed Technology’s Whitewater cloud storage gateway overcomes a serious challenge for IT departments: how to manage the vast, and ever-growing, amount of data that must be protected. This paper makes the business case for cloud storage, outlining where capital and operational costs can be eliminated or avoided by using the cloud for backup and archive storage.

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