Introducing Lakeflow Designer: No‑Code SQL Pipelines in Databricks | Stephanie Alba
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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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LakeFlow Connect is now in Public Preview for SQL Server, Salesforce, and Workday! These connectors provide a simple and efficient way to ingest data into the Data Intelligence Platform, allowing users to spend less time building complex ingestion pipelines and more time innovating. Learn more ⬇️ https://dbricks.co/3WqQFDO | Databricks
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