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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...

This is a guest blog from FIS Global One of the most difficult scenarios in data processing is ensuring that the data is correct and expected. We can take a variety of testing methods to solve this, but often these methods limit the amount of collaboration in a team and don’t directly answer the question,...

This blog post is a joint effort between Caryl Yuhas, Databricks’ Solutions Architect, and Ilan Rabinovitch, Datadog’s ‎Director of Technical Community and Evangelism. UPDATED: Jun 12, 2018 Monitoring the health of any large Apache Spark cluster is an imperative necessity among engineers. They want visibility into clusters’ internals; they want system metrics from individual nodes’...

This article introduces Riak Spark Connector, an open source library which bridges the gap between Apache Spark and Riak NoSQL database. It brings the full power of Apache Spark to the operational data, managed in Riak distributed clusters. With the Riak Apache Spark Connector, Riak users now have an integrated, scalable solution for Big Data...

To address the gap between Spark and .NET, Microsoft created Mobius, an open source project, with guidance from Databricks. By adding the C# language API to Spark, it extends and enables .NET framework developers to build Apache Spark Applications. This guest blog provides an overview of this C# API. Apache Spark has transformed the big...

This is a repost of a blog from our friends at MongoDB. Sam is the Product Manager for Developer Experience at MongoDB based in New York. We've added an example of the connector in the Databricks environment as a notebook. We are delighted to announce general availability of the new, native MongoDB Connector for Apache...