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A new, cost-effective, entry-level appliance, powered by Netezza technology. Learn about this high-performance, scalable, hardware accelerated, massively parallel system that can help you gain insight into your volumes of data.
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This white paper challenges the x86 processor trend, demonstrating that modern mainframe technology represents a scale-up option to the current racks filled with blades. It looks at the way organizations can benefit in terms of improved agility, increased reliability and cost savings by consolidating Oracle databases onto IBM’s zEnterprise.
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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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You know that there's a wealth of information to unlock inside "big data," but where do you start? Big data exploration allows you to navigate all potential data sources to determine how best to proceed. In this Q and A, learn how to plan and execute a big data exploration project, measure the business benefits of such a project, and much more.
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This customer reference booklet contains a sample of real business results that organizations around the world, across a variety of industries, have achieved by upgrading and standardizing on Oracle Database 11g.
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This reference contains a sampling of real business results that organizations in a variety of industries have achieved by implementing Oracle Exadata. Learn how you can use Oracle Exadata to reduce IT costs through consolidation, manage more data on multiple compression tiers, improve the performance of all applications and much more.
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You need to be able to store and analyze data as quickly as it's pouring into your business -- and that's pretty fast. Unfortunately, traditional data warehousing technologies aren't often up to the task. View this informative resource to get an in-depth look at three must-have capabilities for effective modern data warehouses.
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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.