In Spark 2.0, DataFrames and Datasets were extended to handle real time streaming data. This not only provides a single programming abstraction for batch and streaming data, it also brings support for ...
As Apache Spark becomes more widely adopted, the focus has been on creating higher-level APIs that provide increased opportunities for automatic optimization. In the talk below, Michael Armbrust, ...
Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...
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