Databricks Engineering Interns & Impact in Summer 2018

Posted Leave a commentPosted in Announcements, Company Blog, Education, Intern

Thanks to our awesome interns! This summer, our Engineering interns at Databricks did amazing work.  Our interns, working on teams from Developer Tools to Machine Learning, built features and improvements which are already impacting our customers and the Apache Spark and AI communities. Spending a summer at Databricks Databricks Engineering internships are a mix of […]

MLflow v0.7.0 Features New R API by RStudio

Posted Leave a commentPosted in Announcements, Apache Spark, Company Blog, Deep Learning, Ecosystem, Education, Engineering Blog, GPyOpt, Hyperopt, Java, Keras, Machine Learning, MLflow, multistep workflow, Partners, python, R, RStudio

Today, we’re excited to announce MLflow v0.7.0, released with new features, including a new MLflow R client API contributed by RStudio. A testament to MLflow’s design goal of an open platform with adoption in the community, RStudio’s contribution extends the MLflow platform to a larger R community of data scientists who use RStudio and R […]

By Customer Demand: Databricks and Snowflake Integration

Posted Leave a commentPosted in Announcements, Partners, snowflake

Written By: Bill Chambers and Harsha Kapre Today, we are proud to announce a partnership between Snowflake and Databricks that will help our customers further unify Big Data and AI by providing an optimized, production-grade integration between Snowflake’s built for the cloud-built data warehouse and Databricks’ Unified Analytics Platform. Over the course of the last […]

Announcing Databricks Runtime 4.3 – The Databricks Blog

Posted Leave a commentPosted in Announcements, Company Blog, Engineering Blog, Platform, Product, Runtime

I’m pleased to announce the release of Databricks Runtime 4.3, powered by Apache Spark.  We’ve packed this release with an assortment of new features, performance improvements, and quality improvements to the platform.   We recommend moving to Databricks Runtime 4.3 in order to take advantage of these improvements. In our obsession to continually improve our platform’s […]

MLflow 0.4.2 Released – The Databricks Blog

Posted Leave a commentPosted in Announcements, Apache Spark, Company Blog, Engineering Blog, Machine Learning, MLflow, Model Management

Today, we’re excited to announce MLflow v0.4.0, MLflow v0.4.1, and v0.4.2 which we released within the last week with some of the recently requested features. MLflow 0.4.2 is already available on PyPI and docs are updated. If you do pip install mlflow as described in the MLflow quickstart guide, you will get the recent release. In this […]

Get Certified on Apache Spark™ with Databricks

Posted Leave a commentPosted in Announcements, Apache Spark, Certification, Company Blog, Education, training

In a world of rapidly changing products, companies investing in technology need well-trained experts to run it. Certifications are a key differentiator in a competitive job market because they validate your skills and expertise while keeping you relevant. In fact, certifications may impact career growth more than degrees, since business leaders perceive them as more […]

MLflow v0.3.0 Released – The Databricks Blog

Posted Leave a commentPosted in Announcements, Apache Spark, Company Blog, Engineering Blog, Machine Learning, MLflow, Model Management

Today, we’re excited to announce MLflow v0.3.0, which we released last week with some of the requested features from internal clients and open source users. MLflow 0.3.0 is already available on PyPI and docs are updated. If you do pip install mlflow as described in the MLflow quickstart guide, you will get the recent release. […]

Announcing Databricks Runtime 4.2! – The Databricks Blog

Posted Leave a commentPosted in Announcements, Apache Spark, Company Blog, Customers, Databricks, Delta, Engineering Blog, Platform, Product, Runtime, Streaming

We’re excited to announce Databricks Runtime 4.2, powered by Apache Spark™.  Version 4.2 includes updated Spark internals, new features, and major performance upgrades to Databricks Delta, as well as general quality improvements to the platform.  We are moving quickly toward the Databricks Delta general availability (GA) release and we recommend you upgrade to Databricks Runtime […]

Sharing R Notebooks using RMarkdown

Posted Leave a commentPosted in Announcements, Company Blog, Databricks, Engineering Blog, Machine Learning, Partners, Product, RStudio

At Databricks, we are thrilled to announce the integration of RStudio with the Databricks Unified Analytics Platform. You can try it out now with this RMarkdown notebook (Rmd | HTML) or visit us at www.databricks.com/rstudio. IntroductionDatabricks Unified Analytics Platform now supports RStudio Server (press release). Users often ask if they can move notebooks between RStudio and Databricks workspace using RMarkdown […]

Announcing RStudio and Databricks Integration

Posted Leave a commentPosted in Announcements, Company Blog, Databricks, Engineering Blog, Machine Learning, Partners, Product, RStudio

At Databricks, we are thrilled to announce the integration of RStudio with the Databricks Unified Analytics Platform. You can try it out now at with this notebook (Rmd | HTML) or visit us at www.databricks.com/rstudio. For R practitioners looking at scaling out R-based advanced analytics to big data, Databricks provides a Unified Analytics Platform that […]