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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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NoetixViews transforms the complexity of the Oracle E-Business Suite database into recognizable business views of data that are used to create operational reports and ad hoc queries. NoetixViews enables faster, easier and more cost-effective access to information stored in the Oracle E-Business Suite data structure. Read this paper to learn more.
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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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With more and more sensitive data moving from file servers to SharePoint sites, it's important to keep a close eye on what users can access documents, what users have permissions to change the SharePoint sites, and what documents are getting modified.
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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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Read this white paper and learn about the intelligent software in the Oracle Exadata Storage Server that accelerates database query processing (DQP) by offloading database query processing to the storage layer.
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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.
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Access this white paper to learn the benefits of advanced data mining, including a greater return on investment. It offers practical guidance for incorporating additional data types and sources, expanding the scope of data mining projects and deploying results more effectively throughout your organization.