Explore 4 GitHub repositories focused on databricks. Discover top-starred projects and those trending this week.
GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.
A free, self-paced 24-week AI engineering course: Python, machine learning, LLMs, RAG, fine-tuning, agents and MCP, Azure and Vertex and Bedrock, and Databricks. 43 runnable notebooks, one continuous case study. MIT licensed, no signup. By Zorost Intelligence AI Lab.
The Metadata Driven framework for Databricks Lakeflow Declarative Pipelines (formerly Delta Live Tables). Metadata framework that generates production ready Pyspark code for Lakeflow Declarative Pipelines
Metadata-driven framework for Databricks Spark Declarative Pipelines. Config-driven, pattern based approach to batch & streaming across the medallion architecture. Deploys via Declarative Automation Bundles. Built for simplicity, extensibility, and alignment with the Databricks product roadmap.
GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.
A free, self-paced 24-week AI engineering course: Python, machine learning, LLMs, RAG, fine-tuning, agents and MCP, Azure and Vertex and Bedrock, and Databricks. 43 runnable notebooks, one continuous case study. MIT licensed, no signup. By Zorost Intelligence AI Lab.
The Metadata Driven framework for Databricks Lakeflow Declarative Pipelines (formerly Delta Live Tables). Metadata framework that generates production ready Pyspark code for Lakeflow Declarative Pipelines
Metadata-driven framework for Databricks Spark Declarative Pipelines. Config-driven, pattern based approach to batch & streaming across the medallion architecture. Deploys via Declarative Automation Bundles. Built for simplicity, extensibility, and alignment with the Databricks product roadmap.