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Platform blog

What’s New with Databricks Notebooks

Databricks Notebooks offers developers a managed authoring experience where data and AI teams can efficiently collaborate on projects together. The team here is...
Platform blog

Launching a New Files Experience for the Databricks Workspace

Today, we are excited to announce the general availability of files throughout the Databricks workspace. Files support allows Databricks users to store Python...
Platform blog

Reduce Overhead and Get Straight to Work With Personal Compute in Databricks

October 11, 2022 by Austin Ford in Platform Blog
The Databricks Lakehouse enables organizations to use a single, unified platform for all their data, analytics, and AI workloads. These projects often start...
Platform blog

Previewing Updates to the Databricks Notebook

September 1, 2022 by Austin Ford in Platform Blog
At Databricks, we are committed to delivering a world-class, data-driven development experience in the Notebook, and we are very excited to preview the...
Platform blog

Low-Code Exploratory Data Analysis with Bamboolib in Databricks

We are very excited to announce that the public preview of bamboolib in the Databricks Notebook begins today! It is available with the...
Platform blog

Databricks and Jupyter: Announcing ipywidgets in the Databricks Notebook

Today, we are excited to announce a deeper integration between the Databricks Notebook and the ecosystem established by Project Jupyter, a leader in...
Platform blog

Software Engineering Best Practices With Databricks Notebooks

June 25, 2022 by Rafi Kurlansik and Austin Ford in Product
Notebooks are a popular way to start working with data quickly without configuring a complicated environment. Notebook authors can quickly go from interactive...
Platform blog

What's New With Databricks Notebooks at the Data & AI Summit

June 23, 2022 by Austin Ford and Nicolas Pelaez in Platform Blog
At Databricks, we are continually evolving the development experience to accelerate the path from data to insights. Today we’re excited to announce further...
Platform blog

Introducing Data Profiles in the Databricks Notebook

December 7, 2021 by Edward Gan, Moonsoo Lee and Austin Ford in Platform Blog
Before a data scientist can write a report on analytics or train a machine learning (ML) model, they need to understand the shape...
Platform blog

Databricks Notebook Dark Theme

March 31, 2021 by Austin Ford and Richard Fung in Product
This became the most-requested feature in Databricks' history, and now it's here: a dark theme for the Databricks notebook! We're excited for you...
Engineering blog

Python Autocomplete Improvements for Databricks Notebooks

At Databricks, we strive to provide a world-class development experience for data scientists and engineers, and new features are constantly getting added to...