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White Paper

Putting All Your Data to Work: Why Legacy and Traditional Data Is a Goldmine for AI and Analytics

The benefits of incorporating legacy data in your analytics, AI and machine learning initiatives

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. These legacy sources include data from relational databases, enterprise data warehouses and applications running on mainframes and high-res server platforms.

Download this white paper 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.