Databricks says new products LTAP and Lakehouse//RT unify transactional and analytical data for AI agents, delivering ...

Shanku Niyogi of Databricks walks through the architecture behind Lakebase, LTAP and Lakehouse//RT – and renames an industry workaround in a relatable way that acknowledges the pain points experienced ...

Andy Kofoid, president of global field operations at Databricks, advises against blindly following the common advice to ...

📂 DBT-Databricks-Project/ │ ├── 📂 models/ │ ├── 📂 bronze/ # Raw data ingestion layer │ │ ├── bronze_customer.sql # Customer dimension source │ │ ├── bronze_date.sql # Date dimension source ...

Prioritize data engineering to build a robust foundation for effective AI implementation. Respond to customer demand by enhancing data integration capabilities across various platforms. Acquisition of ...

In this tutorial, you build a dataflow to move data from a Northwind OData source to an ADLS Gen2 destination, and then read that data in a notebook in Databricks. To create a new Dataflow Gen2 in ...

Like every Big Tech company these days, Meta has its own flagship generative AI model, called Llama. Llama is somewhat unique among major models in that it’s “open,” meaning developers can download ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

The Engineering Manager Data + AI Observability role at Databricks India is ideal for experienced leaders passionate about large-scale distributed systems, AI observability, and building world-class ...