All Research Sponsored By:ParAccel
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Understanding Oracle business intelligence and analytics
In this SearchOracle.com expert e-guide, read a Q&A that dives into the topics covered at the annual summit held this January by the business intelligence (BI) special interest group within the Independent Oracle Users Group (IOUG), including advanced Oracle analytics, connectors to Hadoop, the R statistical programming language, and big data.
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Best practices in Oracle Data Warehousing
With its noninutrusive method, low-impact, real-time data integration software can liberate your systems from data extract processing batch windows for Oracle data warehousing and allow you to extract data at any time, even when users are online. Read this expert e-guide to learn more about real-time data collection for Oracle data warehouses.
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Presentation Transcript: Offloading Your Oracle Analytics for Improved Performance
Read this presentation transcript to learn how an analytic offload from the warehouse onto an analytical platform can extend the life of your existing data warehouse by up to two years and result in accelerated analytic performance, improved price performance, reduction in database administration and lower storage requirements.
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Integrating Hadoop into a Big Data Analytics Strategy: Presentation Transcript
According to expert analysts, 80% of data is unstructured and without the right platform, this data is essentially unusable to businesses. Read this transcript to discover how the right architecture and strategy can enable you to unlock the true value of big data.
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SearchBusinessAnalytics.com Tip Guide: Skills shortage, training present pitfalls for ‘big data’ analytics
This white paper discusses the pitfalls of big data analytics and examines possible strategies as companies attempt to overcome them.
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SearchBusinessAnalytics.com Tip Guide: ‘Big data’ analytics projects easier said than done—but doable
Check out this expert e-guide to learn more about what strategy can best serve your company’s needs.
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Presentation Transcript: Five Reasons to Offload Analytics from Your Data Warehouse
Traditional data warehouse infrastructure struggles to keep up with the expanding demand for a wide and changing variety of analytic workloads. The result is growing frustration as end-users are forced to use sample data, aggregate data and even restricted in their access to information in standalone or enterprise data warehouses.
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E-Book: Reaping the business benefits of big-data analytics: real-world strategies and examples
Read this e-book to gain insight on deriving business value from investments in big-data analytics, and learn how other organizations are harnessing big data for analytical purposes.
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E-Guide: Real-world Big Data strategies for analytics
When dealing with large-scale data how you do know what data is worth analyzing? Read this E-Guide to find out how other companies are sifting through their data to get huge business benefits.