Databricks Serverless: Next Generation Resource Management for Apache Spark
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databricks.com
The new IDE for Data Engineering introduces a unified way to build Lakeflow Spark Declarative Pipelines in the Databricks Workspace. Code, dependency graphs, data previews, debugging tools and Git all sit in one place, making pipeline development faster, clearer and easier to iterate on. Now in Public Preview: https://www.databricks.com/blog/new-way-build-pipelines-databricks-introducing-ide-data-engineering?utm_source=linkedin&utm_medium=organic-social | Databricks
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