Analysing Metro Operations Using Apache Spark on Databricks
This is a guest blog from EY Advisory Data & Analytics team, who have been working with Sporveien in Oslo building a platform...
Databricks Serverless: Next Generation Resource Management for Apache Spark
As the amount of data in an organization grows, more and more engineers, analysts and data scientists need to analyze this data using...
Integrating Apache Spark with Cucumber for Behavioral-Driven Development
This is a guest blog from FIS Global One of the most difficult scenarios in data processing is ensuring that the data is...
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...
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...
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...
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...