IBM has introduced a new unified data system designed to give users faster and easier access to advanced data science capabilities and the ability to work with their data across private, public or hybrid cloud environments.
The IBM Integrated Analytics System, which comes with a variety of data science tools built-in, enables data scientists to get up and running quickly to develop and deploy their advanced analytics models in-place, directly where the data resides for greater performance.
The integrated architecture of the new system combines software enhancements such as asymmetric massively parallel processing 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 also supports a wide 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 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. Later this year, the company 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.
For more about IBM Analytics, visit www.ibm.com/analytics.