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...
Detecting Abuse at Scale: Locality Sensitive Hashing at Uber Engineering
This is a cross blog post effort between Databricks and Uber Engineering. Yun Ni is a software engineer on Uber’s Machine Learning Platform...
Event-time Aggregation and Watermarking in Apache Spark’s Structured Streaming
This is the fourth post in a multi-part series about how you can perform complex streaming analytics using Apache Spark. Continuous applications often...