Managing and Securing Credentials in Databricks for Apache Spark Jobs
Since Apache Spark separates compute from storage, every Spark Job requires a set of credentials to connect to disparate data sources. Storing those...
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...
Sharing Knowledge with the Community in a Preview of Apache Spark: The Definitive Guide
Apache Spark has seen immense growth over the past several years. The size and scale of this Spark Summit is a true reflection...
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...
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...