Apache Spark 3.0 is now here, and it’s bringing a host of enhancements across its diverse range of capabilities. The headliner is an big bump in performance for the SQL engine and better coverage of ...

The June update to Apache Spark brought support for R, a significant enhancement that opens the big data platform to a large audience of new potential users. Support for R in Spark 1.4 also gives ...

It includes the latest updates on new features from the Apache Spark 3.0 release, to help you: Learn the Python, SQL, Scala, or Java high-level APIs: DataFrames and Datasets.

Such tools include SQL and NoSQL databases, Apache Airflow, Azure Data Factory, AWS S3, Google Cloud Storage, Azure Blob, Hadoop, Apache Spark, Python, Apache NiFi, Grafana, Power BI, etc.There ...

AWS Glue, a serverless data integration service provided by Amazon Web Services, showcases Python and Apache Spark capabilities in a version 4.0 release introduced this week.