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 ...

Apache Spark and Hadoop, Microsoft Power BI, Jupyter Notebook and Alteryx are among the top data science tools for finding business insights.

Reactive programming company Typesafe today released a survey that confirms the high adoption rate of Apache Spark, an open source Big Data processing framework that improves traditional Hadoop-based ...

While Spark is orders of magnitude faster than the MapReduce framework it created – and easier to write applications too — there’s no free lunch with Spark, Venkatrao says. “You need to understand how ...

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We’re proud to share the complete text of O’Reilly’s new Learning Spark, 2nd Edition with you. It includes the latest updates on new features from the Apache Spark 3.0 release, to help you: ...

Get the source code for the example applications demonstrated in this article: “Aggregating with Apache Spark.” Created by Ravishankar Nair for JavaWorld.

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. The upgrade adds ...

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 ...