Since Apache Spark separates compute from storage, every Spark Job requires a set of credentials to connect to disparate data sources. Storing those...

This is a guest blog from EY Advisory Data & Analytics team, who have been working with Sporveien in Oslo building a platform...

As the amount of data in an organization grows, more and more engineers, analysts and data scientists need to analyze this data using...

This is a guest blog from FIS Global One of the most difficult scenarios in data processing is ensuring that the data is...

This blog post is a joint effort between Caryl Yuhas, Databricks’ Solutions Architect, and Ilan Rabinovitch, Datadog’s ‎Director of Technical Community and Evangelism...

At Databricks, our engineers guide thousands of organizations to define their big data and cloud strategies. When migrating big data workloads to the...

This blog post is part of our series of internal engineering blogs on Databricks platform, infrastructure management, tooling, monitoring, and provisioning. We love...

View this notebook on Databricks Nested data types offer Databricks customers and Apache Spark users powerful ways to manipulate structured data. In particular...

A major value Databricks provides is the automatic provisioning, configuration, and tuning of clusters of machines that process data. Running on these machines...