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Deep Dive into the New Features of Apache Spark 3.2 and 3.3 2 года назад


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Deep Dive into the New Features of Apache Spark 3.2 and 3.3

Apache Spark has become the most widely-used engine for executing data engineering, data science and machine learning on single-node machines or clusters. The number of monthly maven downloads of Spark has rapidly increased to 20 million. We will talk about the higher-level features and improvements in Spark 3.2 and 3.3. The talk also dives deeper into the following features + Introducing pandas API on Apache Spark to unify small data API and big data API. + Completing the ANSI SQL compatibility mode to simplify migration of SQL workloads. + Productionizing adaptive query execution to speed up Spark SQL at runtime. + Introducing RocksDB state store to make state processing more scalable Connect with us: Website: https://databricks.com Facebook:   / databricksinc   Twitter:   / databricks   LinkedIn:   / data.  . Instagram:   / databricksinc  

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