Research Survey: Productivity benefits from Databricks Assistant
In the fast-paced landscape of data science and engineering, integrating Artificial Intelligence (AI) has become integral for enhancing productivity. We’ve seen many tools...
Databricks Assistant Tips & Tricks for Data Engineers
The generative AI revolution is transforming the way that teams work, and Databricks Assistant leverages the best of these advancements. It allows you...
Databricks SQL Year in Review (Part III): User Experience
This blog continues our series looking at advancements from 2023 to the serverless data warehouse Databricks SQL . The best data warehouse is...
Faster AI/BI Dashboards with Materialized Views
In this blog post, we will share how you can use Databricks SQL Materialized Views with AI/BI Dashboards to deliver fresh data and...
Databricks SQL Year in Review (Part II): SQL Programming Features
Welcome to the blog series covering product advancements in 2023 for Databricks SQL , the serverless data warehouse from Databricks. This is part...
Announcing Enhanced Control Flow in Databricks Workflows
A key element in orchestrating multi-stage data and AI processes and pipelines is control flow management. This is why we continue to invest...
Built-In Governance for Your Databricks Workspace
Databricks Unity Catalog simplifies data and AI governance by providing a unified solution for organizations to securely discover, access, monitor, and collaborate on...
How to upgrade your Hive tables to Unity Catalog
In this blog we will demonstrate with examples, how you can seamlessly upgrade your Hive metastore (HMS)* tables to Unity Catalog (UC) using...
Announcing public preview of Databricks Asset Bundles: Apply software development best practices with ease
We are delighted to announce that Databricks Asset Bundles are now in public preview. Bundles, for short, facilitate the adoption of software engineering...
Announcing Inference Tables: Simplified Monitoring and Diagnostics for AI models
Have you ever deployed an AI model, only to discover it's delivering unexpected results in a real-world setting? Monitoring models is as crucial...