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At today’s Spark + AI Summit Europe in Amsterdam, we announced that Delta Lake is becoming a Linux Foundation project. Together with the community, the project aims to establish an open standard for managing large amounts of data in data lakes. The Apache 2.0 software license remains unchanged. Delta Lake focuses on improving the reliability...

Try this notebook to reproduce the steps outlined below and watch our on-demand webinar to learn more. In many articles and blogs the machine learning workflow starts with data prep and ends with deploying a model to production. But in reality, that's just the beginning of the lifecycle of a machine learning model. As they say,...

This is a guest blog from Adam Barnhard, Head of Data at Brandless, Inc., and Bing  Liang, Data Scientist at Brandless, Inc. Launched in July 2017, Brandless makes hundreds of high-quality items, curated for every member of your family and room of your home, and all sold at more accessible price points than similar products on the market. We...

The transaction log is key to understanding Delta Lake because it is the common thread that runs through many of its most important features, including ACID transactions, scalable metadata handling, time travel, and more. In this article, we’ll explore what the transaction log is, how it works at the file level, and how it offers...

Thousands of data science jobs are going unfilled today as global demand for the talent greatly outstrips supply. Every day, businesses pay the price of the data scientist shortage in missed opportunities and slow innovation. For organizations to realize the full potential of machine learning, data teams have to build hundreds of predictive models a...

Update on Aug 2, 2019: Added to the end explaining our kernel patch and additional details we found. On June 17, three vulnerabilities in Linux’s networking stack were published. The most severe one could allow remote attackers to impact the system’s availability. We believe in offering the most secure image available to our customers, so...

Databricks is pleased to announce the release of Databricks Runtime 5.5 with Conda (Beta).  We introduced Databricks Runtime 5.4 with Conda (Beta), with the goal of making Python library and environment management very easy.  This release includes several important improvements and bug fixes as noted in the latest release notes [Azure|AWS].  We recommend all users...

We’re excited to announce today the release of MLflow 1.1. In this release, we’ve focused on fleshing out the tracking component of MLflow and improving visualization components in the UI. Some of the major features include: Automatic logging from TensorFlow and Keras Parallel coordinate plots in the tracking UI Pandas DataFrame based search API Java...

Databricks is pleased to announce the release of Databricks Runtime 5.4.  This release includes Apache Spark 2.4.3 along with several important improvements and bug fixes .   We recommend all users upgrade to take advantage of this new runtime release.  This blog post gives a brief overview of some of the new high value features that...

On June 13th, we hosted a live webinar — Simplifying Streaming Stock Analysis using Delta Lake and Apache Spark — with Junta Nakai, Industry Leader - Financial Services at Databricks, John O’Dwyer, Solution Architect at Databricks, and Denny Lee, Technical Product Marketing Manager at Databricks. This is the first webinar in a series of financial...