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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 ...
The Apache Spark community has improved support for Python to such a great degree over the past few years that Python is now a “first-class” language, and no longer a “clunky” add-on as it once was, ...
Spark Declarative Pipelines provides an easier way to define and execute data pipelines for both batch and streaming ETL workloads across any Apache Spark-supported data source, including cloud ...
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Matei Zaharia, Apache Spark co-creator and Databricks CTO, talks about adoption patterns, data engineering and data science, using and extending standards, and the next wave of innovation in ...
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 ...
Apache Spark Definition: Big data as the main application Apache Spark is an open source big data processing framework built to perform sophisticated analysis and designed for speed and ease of use.
Frank Nothaft, technical director of healthcare and life sciences at Databricks, said that Apache Spark's distributed data processing engine is perfect for running complex queries at large scale ...