Putting all your data to work: Why legacy and traditional data is a goldmine for AI and Analytics
Bereich: Whitepaper
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 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.
Bereitgestellt von:
Syncsort
