Download this Microsoft SQL Server 2019 and Big Data white paper and learn how to:
- Use big data clusters to bring high-value relational data and high-volume big data together on a single, scalable platform.
- Avoid slowdowns in extract-transform-load (ETL) processes with data virtualization—an alternative to ETL that integrates data from disparate sources, locations, and formats.
- Create data lakes and query data from many sources through a consistent interface.
- Add intelligent features and get better insights from your data analysis—including data stored beyond SQL Server in Hadoop, Oracle, Teradata, and MongoDB.