The IDE for Data Engineering is everything you need to author and test data pipelines, directly inside the Databricks Workspace. The IDE is designed to improve productivity and debugging with features like dependency graphs, built-in data previews and execution insights. Now available in Public Preview for Lakeflow Spark Declarative Pipelines: https://www.databricks.com/blog/new-way-build-pipelines-databricks-introducing-ide-data-engineering?utm_source=facebook&utm_medium=organic-social | Databr

In this three-part training series, you’ll learn how Azure Databricks combines data engineering, streaming analytics and machine learning. Watch for free now! | Databricks

Learn Databricks in under two hours as Alex Freberg walks through the platform end to end, including: – Importing files and data sources – Exploring SQL Editor and notebooks – Building dashboards – And trying out AI tools like Genie and the Databricks Assistant Follow along with Databricks Free Edition: https://www.youtube.com/watch?v=CoqZTt528ew | Databricks