Apache Spark Cluster Monitoring with Databricks and Datadog
This blog post is a joint effort between Caryl Yuhas, Databricks’ Solutions Architect, and Ilan Rabinovitch, Datadog’s Director of Technical Community and Evangelism...
Transactional Writes to Cloud Storage on Databricks
In another blog post published today , we showed the top five reasons for choosing S3 over HDFS. With the dominance of simple...
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...
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...
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...
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...
Query Watchdog: Handling Disruptive Queries in Spark SQL
Read Rise of the Data Lakehouse to explore why lakehouses are the data architecture of the future with the father of the data...