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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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This paper discusses how the shift to in-memory analytics will make time-to-value in countless business decisions accelerate, changing the pace of adoption and integrated analytics within the enterprise. Learn how in-memory analytics is going to change everything about your enterprise.
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BusinessWeek Research Services (BWRS) launched a research program in April 2009 to determine the attitudes and opinions of C-level executives with regard to the use and value of business analytics. This paper reviews a portion of the research and provides analysis and insights on the topic of business analytics.
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In the following paper, we briefly describe, and illustrate from examples, what we believe are the “Top 10” mistakes of data mining, in terms of frequency and seriousness. Most are basic, though a few are subtle. All have, when undetected, left analysts worse off than if they’d never looked at their data.
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In this report, get an in-depth comparison between Oracle Databases and Real Application Clusters (RAC) and IBM Informix with regards to high availability and data replication.
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This brief paper highlights a leading acceleration system combined with SQL Server in-memory OLTP and how it improves customer experience by boosting system response time and business productivity.
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Learn how you can improve usage of the tools you already have while streamlining software development and delivery. Explore how you can overcome collaboration problems using software lifecycle integration, which enables you to connect all software development and delivery tools, synchronize information across disciplines, and more.
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This brief paper focuses on Toad for SQL Server, a unified solution that allows you to achieve the highest level of code quality, performance and reliability. Inside, 10 features of Toad for SQL Server are presented.
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The following white paper explores the through the eyes of pioneering analyst, Tom Davenport, on the importance of the data scientist when it comes to success with big data and advanced analytics. Learn how they how they help, how to onboard or create them, and much more.