Announcing the Public Preview of Lakeview Dashboards!
We are excited to announce the public preview of the next generation of Databricks SQL dashboards, dubbed Lakeview dashboards . Available today, this...
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What’s new with Databricks SQL?
At this year's Data+AI Summit , Databricks SQL continued to push the boundaries of what a data warehouse can be, leveraging AI across...
What’s new with Unity Catalog at Data and AI Summit 2023
The fundamental principles of governance – accountability, compliance, quality, and transparency – that are essential for data management have now become equally imperative...
Introducing Lakehouse Federation Capabilities in Unity Catalog
Lakehouse Federation is now in public preview! Data teams face many challenges to quickly access the right data primarily due to data fragmentation...
A guide to Databricks SQL and Data Warehousing talks at Data + AI Summit 2023
It's been only 18 months since we announced Databricks SQL general availability - the serverless data warehouse on the Lakehouse - and we...
Announcing the General Availability of Databricks SQL Serverless !
Today, we are thrilled to announce that serverless compute for Databricks SQL is Generally Available on AWS and Azure! Databricks SQL (DB SQL)...
Announcing the General Availability of Predictive I/O for Reads
Today, we are excited to announce the general availability of Predictive I/O for Databricks SQL (DB SQL) : a machine learning powered feature...
Announcing Photon Engine General Availability on the Databricks Lakehouse Platform
We are pleased to announce that Photon , the record-setting next-generation query engine for lakehouse systems, is now generally available on Databricks across...
Databricks SQL Highlights From Data & AI Summit
Data warehouses are not keeping up with today's world: the explosion of languages other than SQL, unstructured data, machine learning, IoT and streaming...
Connect From Anywhere to Databricks SQL
Today we are thrilled to announce a full lineup of open source connectors for Go , Node.js , Python , as well as...
Databricks SQL Serverless Now Available on AWS
Databricks SQL Serverless is now generally available. Read our blog to learn more. We are excited to announce the availability of serverless compute...
Announcing General Availability of Databricks SQL
Today, we are thrilled to announce that Databricks SQL is Generally Available (GA)! This follows our earlier announcements about Databricks SQL’s world record-setting...
Databricks SQL: Delivering a Production SQL Development Experience on the Data Lake
Databricks SQL is now generally available on AWS and Azure. Databricks SQL (DB SQL) is a simple and powerful SQL analytics platform for...
New Performance Improvements in Databricks SQL
Databricks SQL is now generally available on AWS and Azure. Originally announced at Data + AI Summit 2020 Europe, Databricks SQL lets you...
Announcing Photon Public Preview: The Next Generation Query Engine on the Databricks Lakehouse Platform
Databricks Photon is now generally available on AWS and Azure. Today, we're excited to announce the availability of Photon in public preview. Photon...
Introducing Delta Sharing: An Open Protocol for Secure Data Sharing
Update: Delta Sharing is now generally available on AWS and Azure. Get an early preview of O'Reilly's new ebook for the step-by-step guidance...
Announcing MLflow Model Serving on Databricks
Databricks MLflow Model Serving provides a turnkey solution to host machine learning (ML) models as REST endpoints that are updated automatically, enabling data...
Introducing the Next-Generation Data Science Workspace
At today’s Spark + AI Summit 2020, we unveiled the next generation of the Databricks Data Science Workspace: An open and unified experience...
MLflow Joins the Linux Foundation to Become the Open Standard for Machine Learning Platforms
Watch Spark + AI Summit Keynotes here At today's Spark + AI Summit 2020, we announced that MLflow is becoming a Linux Foundation...
A Guide to MLflow Talks at Spark + AI Summit 2020
It's been 2 years since we originally launched MLflow , an open source platform for the full machine learning lifecycle, and we are...
Deep Learning Tutorial Demonstrates How to Simplify Distributed Deep Learning Model Inference Using Delta Lake and Apache Spark™
On October 10th, our team hosted a live webinar— Simple Distributed Deep Learning Model Inference —with Xiangrui Meng, Software Engineer at Databricks. Model...
Introducing the MLflow Model Registry
Watch the announcement and demo At today’s Spark + AI Summit in Amsterdam , we announced the availability of the MLflow Model Registry...
A Guide to MLflow Talks at Spark + AI Summit 2019 Europe
We are thrilled to see how well MLflow has been welcomed by the community since we launched it last summer. With now over...
Automated Hyperparameter Tuning, Scaling and Tracking: On-Demand Webinar and FAQs now available!
Try this notebook in Databricks On June 20th, our team hosted a live webinar— Automated Hyperparameter Tuning, Scaling and Tracking on Databricks —with...
Hyperparameter Tuning with MLflow, Apache Spark MLlib and Hyperopt
Hyperparameter tuning is a common technique to optimize machine learning models based on hyperparameters, or configurations that are not learned during model training...
Announcing General Availability of Managed MLflow on Databricks
Try this tutorial in Databricks MLflow is an open source platform to help manage the complete machine learning lifecycle. With MLflow, data scientists...
Koalas: Easy Transition from pandas to Apache Spark
Today at Spark + AI Summit, we announced Koalas, a new open source project that augments PySpark’s DataFrame API to make it compatible...
A Guide to MLflow Talks at Spark + AI Summit 2019
In less than a year, MLflow has reached almost 500K monthly downloads, and gathered over 80 code contributors and 40 contributing organizations, confirming...
Simple Steps to Distributed Deep Learning: On-Demand Webinar and FAQ Now Available!
Try this notebook in Databricks On February 12th, we hosted a live webinar— Simple Steps to Distributed Deep Learning on Databricks —with Yifan...
Managed MLflow on Databricks now in public preview
Try this tutorial in Databricks Building production machine learning applications is challenging because there is no standard way to record experiments, ensure reproducible...
Applying your Convolutional Neural Network: On-Demand Webinar and FAQ Now Available!
Try this notebook in Databricks On October 25th, we hosted a live webinar— Applying your Convolutional Neural Network —with Denny Lee, Technical Product...
Training your Neural Network: On-Demand Webinar and FAQ Now Available!
Try this notebook in Databricks On October 9th, we hosted a live webinar— Training your Neural Network —on Data Science Central with Denny...
Introduction to Neural Networks: On-Demand Webinar and FAQ Now Available!
Try this notebook in Databricks On September 27th, we hosted a live webinar— Introduction to Neural Networks —with Denny Lee, Technical Product Marketing...
Introducing MLflow: an Open Source Machine Learning Platform
Learn more about Managed MLflow on Databricks Everyone who has tried to do machine learning development knows that it is complex. Beyond the...