“Today’s announcement is a continuation of our aggressive strategy to make data science and machine learning more accessible than ever before and to help organizations like AMC, begin harvesting their massive data volumes – across infrastructures – for insight and intelligence,” said Rob Thomas, General Manager, IBM Analytics.The integrated architecture of the new system combines software enhancements such as asymmetric massively parallel processing (AMPP) with IBM Power technology and flash memory storage hardware and builds on the IBM PureData System for Analytics, and the previous IBM Netezza data warehouse offerings. It will also support a range of data types and data services, including everything from the Watson Data Platform and IBM Db2 Warehouse On Cloud, to Hadoop and IBM BigSQL. Like these solutions, the Integrated Analytics System is built with the IBM common SQL engine, enabling users to seamlessly integrate the unit with cloud-based warehouse solutions. In addition, industry standard tools and the common SQL engine will provide users with an option to also move these workloads seamlessly to public or private cloud environments with Spark clusters, based on the user’s requirements. Like IBM’s existing data warehouse products, the Integrated Analytics System is designed to provide built-in data virtualization and compatibility with Netezza®, Db2®, and IBM PureData System for Analytics. Among these capabilities, the new system also incorporates hybrid transactional analytical processing (HTAP). In contrast to typical business environments where transaction processing and analytics are run on distinct architectures, HTAP runs predictive analytics, transactional and historical data on the same database at accelerated response times. IBM claims that later this year, it plans to add support for HTAP with IBM Db2 Analytics Accelerator for z/OS, which will enable the system to transparently integrate with IBM z Systems infrastructures.
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