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This is a guest blog from our partners at MongoDB Bryan Reinero and Dana Groce We are happy to announce that the MongoDB Connector for Apache Spark is now officially certified for Azure Databricks. MongoDB Atlas users can integrate Spark and MongoDB in the cloud for advanced analytics and machine learning workloads by using the...

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...

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. Introduction Databricks Unified Analytics Platform now supports RStudio Server (press release). Users often ask if they can move notebooks between RStudio and Databricks workspace using...

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. For R practitioners looking at scaling out R-based advanced analytics to big data, Databricks provides a Unified Analytics Platform that...

The confluence of cloud, data, and AI is driving unprecedented change. The ability to utilize data and turn it into breakthrough insights is foundational to innovation today. Our goal is to empower organizations to unleash the power of data and reimagine possibilities that will improve our world. To enable this journey, we are excited to...

It’s hard to believe that we are already three weeks into 2018. If you’re still struggling to get valuable insights from your data, now is the perfect time to try something new! We recently announced Azure Databricks, a fast, easy and collaborative Apache® Spark™ based analytics platform optimized for Azure. With Azure Databricks, you can help your...

Today we announced that Amazon has awarded Databricks with the Amazon Web Services (AWS) Machine Learning (ML) Competency status. This designation recognizes Databricks for enabling data scientists and machine learning practitioners with tools to take their data, train predictive models and make predictions on new data. Attaining the AWS ML Competency demonstrates to customers that Databricks...

Databricks and Microsoft have jointly developed a new cloud service called Microsoft Azure Databricks, which makes Apache Spark analytics fast, easy, and collaborative on the Azure cloud. Not only does this new service allow data scientists and data engineers to be more productive and work collaboratively with their respective teams, but it also gives them...

We are very excited today as we announce a partnership between Databricks and Looker. We have seen customers using these products together to provide an easy and intuitive way for business users to visualize and discover the powerful analytics results of Apache Spark. Using Looker and Databricks, you can experience the following benefits: Easy to...