RESEARCH & RESOURCES

Syncsort white paper

Learn Why Legacy and Traditional Data is a Goldmine for AI and Analytics

July 25, 2018

Most organizations involved in advanced analytics are using big data to feed their AI projects. Many analytics teams are familiar with data in Hadoop and Spark but are often much less fluent in legacy data sources such as data from relational databases, enterprise data warehouses, and applications running on mainframes and high-res server platforms.

Download this white paper, Putting All Your Data to Work: Why Legacy and Traditional Data Is a Goldmine for AI and Analytics, to learn why you need to incorporate legacy data in your analytics, AI, and ML initiatives and more about the steps you’ll need to take to create a data supply chain for legacy data.

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