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Read this white paper to learn how to configure your SQL Server data warehousing system to support growing online analytical processing (OLAP) loads while lowering costs, easing management, and improving performance.
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By using the Oracle Exadata Database Machine as a data warehouse platform you have a balanced, high performance hardware configuration. This paper focuses on the other two corner stones, data modeling and data loading, providing a set of best practices and examples for deploying a data warehouse on the Oracle Exadata Database Machine.
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In this report, Bloor Research explores how Sybase IQ is well positioned to compete with both traditional and appliance vendors. Learn how Sybase IQ has strengths in particular areas but its overall capabilities allow it to compete across the board.
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To improve the performance of data warehouse queries while minimizing manual tuning, DBAs can turn to the IBM Informix Warehouse Accelerator. Access this white paper to learn more about how fast response time generates quick answers, quick insights, and an agile business.
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In this resource, explore the three principles of great enterprise design—stability, scalability, and agility—and learn how to apply them to your SAP landscape with a focus on SAP HANA. Read on for best practices and key design considerations for implementing your SAP HANA enterprise-level solution.
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This brief white paper outlines information lifecycle management (ILM), a set of strategies for managing the growth, storage and retrieval of information over its useful life. Its goal is to ensure that frequently accessed data is returned as fast as possible, while controlling storage costs.
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Access the following white paper to uncover the tools and strategies you need to know to be able to pull actionable insight from big data. Discover how to choose the right solutions for big data analytics, the challenges of converting big data to insight, and more.
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This brief resource examines the true value of Apache Hive, a SQL engine for the Apache Hadoop framework. Inside, learn how Hive's facilities for data and metadata management are impacting the existing warehouse infrastructure and driving business success.
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To realize the full potential of smart meters, utility companies and their partners need a data management solution designed to reduce data load times, decrease storage capacity needs, and improve query performance for time series data.
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Big data requires real-time access to data, scalability, and non-disruptive technology - qualities that relational databases just don't have. In this resource, discover how an in-memory data grid (IMDG) addresses the challenges posed by big data and application performance, and learn how one particular data grid can benefit your IT department.
