The rapid adoption of Azure Databricks through our strategic partnership with Microsoft has been remarkable, and it’s proven to be…
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Celebrating Diversity with Databricks AMS at Pride 2019
Team Databricks celebrating Pride 2019 Databricks was a proud sponsor of Amsterdam Pride 2019, one of the world’s largest…
Continue ReadingAnnouncing Databricks Runtime 5.5 with Conda (Beta)
Databricks is pleased to announce the release of Databricks Runtime 5. 5 with Conda (Beta). We introduced Databricks Runtime…
Continue ReadingAnnouncing Databricks Runtime 5.5 and Runtime 5.5 for Machine Learning
Databricks is pleased to announce the release of Databricks Runtime 5. 5. This release includes Apache Spark 2. 4.…
Continue ReadingBrickster Spotlight: Meet Heather
There were a few things I was looking for: rapid growth, exceptional executive leadership that I could learn from, and…
Continue ReadingMaking the Move to Amsterdam: Bilal Aslam
While we are proud of our Berkeley roots, Databricks now calls many cities around the world our home. In addition…
Continue ReadingBrickster Spotlight: Meet Vida
I wanted to work for a big data technology, cloud, and open source company – I’m so excited about the…
Continue ReadingBrickster Spotlight: Meet Alexandra
I’m part of our diversity committee because I’m passionate about creating an inclusive and welcoming environment for everyone here. We…
Continue ReadingAnnouncing Databricks Runtime 5.4
Databricks is pleased to announce the release of Databricks Runtime 5. 4. This release includes Apache Spark 2. 4. 3…
Continue ReadingDatabricks Connect: Bringing the capabilities of hosted Apache Spark™ to applications and microservices
In this blog post we introduce Databricks Connect, a new library that allows you to leverage native Apache Spark APIs…
Continue ReadingIntroducing Databricks Runtime 5.4 with Conda (Beta)
We are excited to introduce a new runtime: Databricks Runtime 5. 4 with Conda (Beta). This runtime uses Conda to…
Continue ReadingA simple example of using Spark in Databricks with Python and PySpark.
A simple example of using Spark in Databricks with Python and PySpark. German GensetskiyBlockedUnblockFollowFollowingMay 28Apache Spark is an open-source distributed general-purpose…
Continue ReadingGenerating BI Reports on Encrypted Data using Azure Databricks
Generating BI Reports on Encrypted Data using Azure DatabricksProsenjit ChakrabortyBlockedUnblockFollowFollowingMay 7Data encryption in cloud is an important factor for the…
Continue ReadingEfficient Databricks Deployment Automation with Terraform
Managing cloud infrastructure and provisioning resources can be a headache that DevOps engineers are all too familiar with. Even the…
Continue ReadingDatabricks and Tableau Lean In to Improve BI User Experience
Since 2014, Tableau and Databricks have partnered to improve the speed and user experience of visualizing massive data sets. This…
Continue ReadingDatabricks Runtime 5.3 ML Now Generally Available
We are excited to announce the general availability (GA) of Databricks Runtime for Machine Learning, as part of the release…
Continue ReadingAnnouncing Databricks Runtime 5.3
We are proud to announce the release of Databricks Runtime 5. 3, which includes several new features and improvements, including:…
Continue ReadingData Engineering Light: Expanding Choice for Production Workloads
Adding a Lower Tier, Lower Price Option Since its inception a guiding principle for Databricks has been the unification of…
Continue ReadingAzure Databricks – Bring Your Own VNET
Azure Databricks Unified Analytics Platform is the result of a joint product/engineering effort between Databricks and Microsoft. It’s available as…
Continue ReadingSimplifying Genomics Pipelines at Scale with Databricks Delta
Further compounding this problem, data from thousands of individuals cannot be stored, tracked nor versioned while also remaining accessible and…
Continue ReadingNew Databricks Delta Features Simplify Data Pipelines
Microsoft Azure Azure Databricks Standard Data Engineering ✓ Azure Databricks Standard Data Analytics ✓…
Continue ReadingDatabricks Runtime 5.2 ML Features Multi-GPU Workflow, Pregel API, and Performant GraphFrames
We are excited to announce the release of Databricks Runtime 5. 2 for Machine Learning. This release includes several new…
Continue ReadingAnnouncing Databricks Runtime 5.1
We are excited to announce the release of Databricks Runtime 5. 1. This release includes several new features, performance and…
Continue ReadingIntroducing Databricks Runtime 5.0 for Machine Learning
Today we are excited to release the second iteration including Conda support, the latest version of TensorFlow, HorovodRunner API for…
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