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This white paper highlights how organizations can leverage big data to solve business challenges. It focuses on query-able data warehouses as a way to reduce costs and gain business insights. Discover how you can free up your data warehouse from processes slowing it down and disrupting revenue goals.
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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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This white paper from Bloor Research examines how IBM's database Informix can be used in a hybrid transactional/analytics environment or for data warehousing applications in today's big data world.
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Despite what some technology vendors might have you believe, big data isn't limited to data warehouse scenarios. This resource examines the growing prevalence of big data and explains how leading organizations are using all of this information to drive business success.
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This white paper discusses the importance of data quality operations and how to successfully implement a data quality strategy into your organization.
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Access the following white paper to uncover how companies are leveraging new analytics technology and practices to stay ahead of the big data curve. Discover how you can gain the actionable intelligence you need and what you can do to gain a sharper competitive edge.
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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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This white paper describes how Hadoop can be used in data warehouse environments to reduce storage and processing costs and to improve the performance of reporting and analysis.
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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.