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Apache Spark - Unity Catalog Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters Integrating Apache Spark with Unity Catalog offers significant advantages over traditional catalog solutions
io. unitycatalog:unitycatalog-spark_2. 12 on Maven To build UC (incl Spark Integration module), run the following command: build sbt clean package publishLocal spark publishLocal Refer to sbt docs for more commands
unitycatalog unitycatalog: Open, Multi-modal Catalog for Data AI - GitHub Unity Catalog is the industry’s only universal catalog for data and AI Multi-format support: It is extensible and supports Delta Lake, Apache Iceberg and Apache Hudi via UniForm, Apache Parquet, JSON, CSV, and many others Multi-engine support: With its open APIs, data cataloged in Unity can be read by many leading compute engines
Setup Unity Catalog with Apache Spark in a docker container I am trying to set up Unity Catalog in a docker container with Apache Spark 3 5 2, but I am running into errors I followed this document to set up and test Unity Catalog with Apache Spark As per the instructions there I need to start the spark shell with jars of delta-spark and unity-catalog
Using Unity Catalog with Apache Spark and Delta Lake Configuring your Spark session with access to Unity Catalog enables you to query your Delta tables in Unity Catalog just like any other Spark DataFrame You’ll need to be running at least Apache Spark version 3 5 3 and Delta Lake version 3 2 1 to leverage this integration
How to Run Apache Spark with a Local Instance of Unity Catalog Once the above server is up and running, you can run the below commands to create a new catalog, schema and a sample table Run the sbt build to generate the necessary jars needed for the local