It uses the Apache Spark in-memory data-analytics engine so that it can perform live SQL analytics on both static data sets and streams. Queries against SnappyData can be written as conventional ...

description: Use confidential computing on Kubernetes to run big data analytics with Apache Spark inside confidential containers that are protected by Intel Software Guard Extensions with data from ...

This project utilizes an IPL dataset, which is stored in Amazon S3, and processed using Apache Spark and PySpark on Databricks. The analysis includes data transformation, SQL analytics ... Spark ...

“We added low-code SQL to our already robust support for Spark because, over and over, we’ve seen how data analytics and ... “As the lakehouse architecture continues to expand, we see ...