Tableau Software officially released Version 6 of its product this week. Tableau approaches business intelligence from the end user’s perspective, focusing primarily on delivering tools that allow people to easily interact with data and visualize it. With this release, Tableau has advanced its in-memory processing capabilities significantly. Fundamentally Tableau 6 shifts from the intelligent caching scheme used in prior versions to a columnar, in-memory data architecture in order to increase performance and scalability.
Tableau 6 Combines In-Memory Processing and Visualization
Posted by
David Menninger on Nov 26, 2010 6:05:27 PM
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Topics: Analytics, Business Analytics, Business Intelligence, Data Visualization, Enterprise Data Strategy, In-Memory Computing, Tableau, CIO, Big Data
Advantages and Challenges of In-Memory Databases and Processing
Posted by
David Menninger on Nov 26, 2010 5:57:53 PM
Interest in and development of in-memory technologies have increased over the last few years, driven in part by widespread availability of affordable 64-bit hardware and operating systems and the performance advantages in-memory operations provide over disk-based operations. Some software vendors, such as SAP with its High-Performance Analytic Appliance (HANA) project has been advancing with momentum, have even suggested that we can put our entire analytic systems in memory.
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Topics: Analytics, Business Analytics, Business Intelligence, Complex Event Processing, Database, Enterprise Data Strategy, In-Memory Computing, Information Management, Information Technology, CIO, IT Performance Management (ITPM)
