Top 5 Reasons for Choosing S3 over HDFS
At Databricks, our engineers guide thousands of organizations to define their big data and cloud strategies. When migrating big data workloads to the...
Entropy-based Log Redaction for Apache Spark on Databricks
This blog post is part of our series of internal engineering blogs on Databricks platform, infrastructure management, tooling, monitoring, and provisioning. We love...
Bay Area Apache Spark Meetup Summary
On May 16, we held our monthly Bay Area Apache Spark Meetup (BASM) at SalesforceIQ in Palo Alto. In all, we had three...
Using sparklyr in Databricks
Try this notebook on Databricks with all instructions as explained in this post notebook In September 2016, RStudio announced sparklyr , a new...
Working with Nested Data Using Higher Order Functions in SQL on Databricks
View this notebook on Databricks Nested data types offer Databricks customers and Apache Spark users powerful ways to manipulate structured data. In particular...
Databricks Runtime 3.0 Beta Delivers Cloud Optimized Apache Spark
A major value Databricks provides is the automatic provisioning, configuration, and tuning of clusters of machines that process data. Running on these machines...
On-Demand Webinar and FAQ: Deep Learning and Apache Spark: Workflows and Best Practices
On May 4th, we hosted a live webinar — Deep Learning and Apache Spark: Workflows and Best Practices . Rather than comparing deep...
Running Streaming Jobs Once a Day For 10x Cost Savings
This is the sixth post in a multi-part series about how you can perform complex streaming analytics using Apache Spark. Traditionally, when people...
Persistent Clusters: Simplifying Cluster Management for Analytics
Today we are excited to announce persistent clusters for analytics in Databricks. With persistent clusters, users no longer need to go through the...
Taking Apache Spark’s Structured Streaming to Production
This is the fifth post in a multi-part series about how you can perform complex streaming analytics using Apache Spark. At Databricks, we’ve...