Watch a deep dive of the new AI-driven big data management and streaming innovations: automatic schema drift handling, so you can adapt to frequent changes in batch and streaming data without impacting processing; advanced Spark support including Python Tx and Spark Structured Streaming; and predictive insights into big data jobs for capacity planning on cloud, and on-premises environments.
We’ll also showcase other key capabilities from the 10.2.2 release that will help you drive initiatives such as data warehouse modernization and data lake management. You’ll see demos of high-speed mass ingestion that's easy to use, fast, and scalable with no hand-coding, as well as serverless support on a variety of cloud environments including Azure, AWS, and Google Cloud.
