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

1K views · 24 reactions | Introducing Databricks LakeFlow, a new solution that makes building production-grade data pipelines easy and efficient. LakeFlow simplifies all aspects of data engineering, from data ingestion to transformation and orchestration, so data teams can scale to the ever-growing demand for reliable data and AI. All through a simple, unified and intelligent experience. https://dbricks.co/3VAB5Ge | Databricks | Facebook