Databricks Labs
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- Accelerates migrations to Databricks by automating key migration activities
- API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation
- Experimental labs projects
- Generate relevant synthetic data quickly for your projects. The Databricks Labs synthetic data generator (aka `dbldatagen`) may be used to generate large simulated / synthetic data sets for test, POCs, and other uses in Databricks environments including in Delta Live Tables pipelines
- Databricks framework to validate Data Quality of pySpark DataFrames
- Automated migrations to Unity Catalog
- Baseline for Databricks Labs projects written in Python
- Lightweight SQL execution wrapper only on top of Databricks SDK
- Metadata driven Databricks Lakeflow Declarative Pipelines framework for bronze/silver pipelines
- Python Testing for Databricks
- A Swiss-Army-knife for your Data Intelligence platform administration.
- 🧱 Databricks CLI eXtensions - aka dbx is a CLI tool for development and advanced Databricks workflows management.
- Databricks Add-on for Splunk
- Capture deep metrics on one or all assets within a Databricks workspace
- Databricks Plugin for PyLint
- Automated provisioning of an industry Lakehouse with enterprise data model
- Databricks SDK for R (Experimental)