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This paper compares the TCO of Oracle11g and Sybase ASE 15 databases, and demonstrates Sybase as the clear winner. Read this paper to learn why enterprises choose Sybase ASE on Linux for mission-critical applications that demand lightning-fast performance.
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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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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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Data warehousing can be an expensive, complicated bag of hardware, software and support. However, adopting a data warehouse appliance will benefit your business today and in the future. In this new white paper, learn about their evolution, pros and cons and if this technology is the right fit for your business. Read it today.
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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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Read this fascinating case study today to learn about how Reed & Mackay replaced its existing system with a new data warehouse and analytics solution provides both interactive and static reports for internal users, and more!
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The following report from Gartner Research Inc. explores in detail the implications that face the business and its leaders in regards to the shift. Find out the various impacts of SAP HANA as well as top recommendations to make this transition as smooth as possible.
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A recent IOUG survey discovered that while most organizations have a well-established data warehouse, acceptance within their companies is still limited. Inside this exclusive study, learn how companies can start taking more advantage of their data warehousing systems to successfully manage the growing amounts of “big data".
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This paper outlines different considerations for separating decision support systems (DSS) from Transaction Processing (OLTP) environments and touches upon technical procedures for achieving the same, as well as examines data warehouse solutions, different storage topologies, storage interface optimizations and much more.