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 data warehouse performance


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 performance  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

Business Performance Management (BPM) RFI/RFP Template

Data Visualization, Analytics, Workflow, Data Integration, Support, System Requirements 

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Documents related to » data warehouse performance

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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World-class Business Intelligence-Without a Data Warehouse


There is a presumption that enterprise performance management and business intelligence initiatives must be supported by data warehouses. Conceptually, the data warehouse provides a central point where a copy of data from multiple locations is stored and optimized for reporting. In practice, however, it is possible to access powerful business intelligence, analytics, and reporting, without relying on a data warehouse.

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Amazon Debuts Redshift, a Petabyte-scale Data Warehouse in the Cloud


Amazon is pulling out all the stops in its bid to get ahead in the highly competitive data warehouse market by announcing the limited preview of Amazon Redshift, Amazon´s new data warehouse offering. Redshift is a petabyte-scale, fully managed data warehouse service in the cloud. Amazon customers will be able to deploy their data warehouse solutions and analyze large amounts of information by

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Data Management and Business Performance: Part 1-Data


Research for one of my projects led me to ask both software vendors and customers about the factors most important to software users in the selection of a business intelligence (BI) solution. Two topics resounded: the use of BI tools to improve data management and business performance management. Consumers are continuously looking for innovative ways to move, store, and improve the quality of

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Meet PCI DSS Compliance Requirements for Test Data with Data Masking


Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn more.

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Accelerating Cloud Performance with WAN Optimization


InAccelerating Cloud Performance with WAN Optimization, you'll learn about the key benefits of cloud computing and why its success or failure can d...

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Logs: Data Warehouse Style


Once a revolutionary concept, data warehouses are now the status quo—enabling IT professionals to manage and report on data originating from diverse sources. But where does log data fit in? Historically, log data was reported on through slow legacy applications. But with today’s log data warehouse solutions, data is centralized, allowing users to analyze and report on it with unparalleled speed and efficiency.

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Application Performance: Don't Fly Blindly Into the Cloud


In Managing Application Performance in the Cloud, you'll get a straightforward guide to understanding...

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Six Steps to Manage Data Quality with SQL Server Integration Services


Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost.

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Making Big Data Actionable: How Data Visualization and Other Tools Change the Game


To make big data actionable and profitable, firms must find ways to leverage their data. One option is to adopt powerful visualization tools. Through visualization, organizations can find and communicate new insights more easily. Learn how to make big data more actionable by using compelling data visualization tools and techniques.

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