WHITE PAPER:
In large networks, the sheer number of permission settings makes it almost impossible to gain a clear overview of overall security, and checking that all those permission are in compliance with corporate and regulatory standards is a Herculean task.
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Data warehouse appliances have transformed the DW with a platform designed to deliver optimal price and performance with extreme simplicity. This paper outlines the IBM Netezza data warehouse appliance and how it offers extreme time to value, agility and ability to grow with new workloads, cost reduction of ongoing maintenance and more.
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Technical white paper covering the impact of XML on data warehousing and how to deliver new levels of business analysis and bring users closer to their data.
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Find out how Embarcadero's DB Optimizer™ can help you to quickly discover and fix problematic SQL statements that can cause performance bottlenecks in your database. DB Optimizer™ gives you the flexibility of using a single easy-to-use IDE to test, profile and tune SQL.
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This white paper focuses on the use of a log-based, real-time change data capture (CDC) solution to enable real-time reporting using a low overhead solution that minimizes the impact on IT infrastructure.
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Column-based databases can be slow deleting and updating data. Vertica’s Analytic Database is designed specifically for storing and querying large datasets. Vertica’s differentiator is that it combines a columnar database engine with MPP and shared-nothing architecture, aggressive data-compression rates, and high availability.
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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.
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This white paper highlights how organizations can leverage big data to solve business challenges. It focuses on query-able data warehouses as a way to reduce costs and gain business insights. Discover how you can free up your data warehouse from processes slowing it down and disrupting revenue goals.
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This paper, intended for both IT and operational management, explores a series of high-level best practices for analytics and data warehousing based on Sybase’s experience with successful implementations. Suggestions are provided in three categories: performance, cost control, and ease-of-deployment with each dimension broken down into sub-topics.
