Big data analytics is the use of advanced analytic techniques against large data sets, including structured/unstructured data and streaming/batch data.
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Explore a comprehensive statistical analysis software platform designed for ease of use and quick actionable insights to solve business and research...
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IBM Watson Discovery is an award-winning AI-powered search technology that eliminates data silos and retrieves information buried inside enterprise...
Simplify data for AI with a 360 degree view from edge to insight and reduce time for data organization and analysis
Explore this SQL-on-Hadoop data mining engine used by data architects and scientists to query and federate data across enterprise big data sets.
Discover enterprise container-native storage solutions for OpenShift.
Provides the data and compute-intensive infrastructure needed to deliver faster time to insights, creating an incredibly powerful training platform.
IBM SPSS Amos, a powerful structural equation modeling software, helps to support your research and theories.
Gain up to 30 TB of compressed data per cartridge with next-generation LTO Ultrium 8 technology
Learn about a single source for the purchase, deployment and support of EDB Postgres Enterprise and Standard editions with IBM
IBM SPSS Analytic Server allows you to use big data as a source for predictive modeling.
IBM Integrated Analytics System is a high-performance, optimized and cloud-ready analytics solution.
Explore this component, tightly integrated with Db2 for z/OS to deliver high-speed processing for real-time insight.
Explore a data quality solution that offers a set of data profiling, cleansing and monitoring capabilities that execute on the data nodes of a...
Explore an enterprise-class data replication software platform that keeps data consistent in a distributed environment, on premises and in the...
Explore this big data integration solution that offers a flexible, scalable platform to extract, transform and integrate Hadoop data.
Explore this tool for quickly matching and analyzing disparate volumes of structured and unstructured customer data for better insights.