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This paper explains master data in more detail, offers guidance for planning a master data management (MDM) plan and focuses on aligning IT with your business needs.
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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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In this white paper, you will learn intelligent data modeling practices to design and deliver superior business intelligence (BI) faster, the characteristics and benefits of intelligent data modeling and how to promote the use of data models to fast-track data warehouse and BI projects.
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Find out how 9 different big data Hadoop solutions compare to one another, and learn about the various vendors and differentiated features of each option.
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This white paper helps you manage more data in a cost-effective way. With data volumes tripling every two years, Oracle advanced compression delivers compression rates of 2 to 4 times across all types of data and applications. Read this to learn more about how it can help you reduce the disk space and costs of managing large data volumes.
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Read this white paper and learn how the data warehouse, metadata and modeling environment will be transformed in the next few years — and what you need to do to leverage it for your business, the major components of DW 2.0 architectures, and key modeling and metadata management strategies for DW 2.0.
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This white paper provides an overview of Oracle’s capabilities for data warehousing and discusses the key features and technologies by which Oracle-based business intelligence and data warehouse systems easily integrate information, perform fast queries, scale to very large data volumes and analyze any data.
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This white paper offers up a comprehensive comparison of the Oracle Exadata and IBM Netezza data warehouse appliance, helping you decide which is the better fit for your business. Read this now and learn how they stack up in terms of online transaction processing (OLTP), query performance, simplicity of operation, value and more.
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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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This paper discusses virtual data services for operational business processing and data management as well as successful virtualization use cases.
