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To fully realize the value of all the data available, companies need to take a more scientific, collaborative approach to business intelligence (BI). In this helpful resource, learn about a relationship-based approach to BI and analytics that realigns key responsibilities to better match the needs of your enterprise.
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There are more new forms of data today than ever before, and traditional business intelligence systems cannot always handle the amount of stress from this influx of information. Check out this white paper to discover a system known as 'high performance data warehousing' that can help you successfully analyze and glean insights from your big data.
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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 e-book to uncover the tools and strategies you need to get the most out of big data. Learn from leading authors in the field of data management as they explain some of the common mistakes made by analytics professionals while mining for new insights and what you can do to avoid them.
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Read this white paper now and learn how Oracle Exadata Database Machine addresses the needs of today’s businesses with extreme performance for enterprise data warehousing, online transaction processing (OLTP) and mixed workloads.
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This resource examines how an integration and governance strategy can help you deliver trusted information for big data and data warehousing. Read on to learn how you can set the stage for more effective, reliable decision-making.
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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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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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This paper discusses virtual data services for operational business processing and data management as well as successful virtualization use cases.
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Companies are rushing to invest in big data analytics tools, but many forget about the underlying infrastructure that supports their big data efforts. In this informative white paper, learn why the right database management system (DBMS) could be the key to a successful big data analytics project.
