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Migration from Hadoop to Modern Cloud Platforms: The Case for Hadoop Alternatives

November 27, 2019 by Anand Venugopal and James Nguyen in Open Source
Companies rely on their big data and analytics platforms to support innovation and digital transformation strategies. However, many Hadoop users struggle with complexity...

Employee Spotlight: Meet Alex

November 25, 2019 by Alex Narkaj in Company
At Databricks, we help data teams solve the world’s toughest problems and we couldn’t do that without our wonderful Databricks Team. “Teamwork makes...

How Databricks and Privacera Combine to Secure Data for Cloud Analytics

November 20, 2019 by Hiral Jasani in Security and Trust
Read Rise of the Data Lakehouse to explore why lakehouses are the data architecture of the future with the father of the data...

Deep Learning Tutorial Demonstrates How to Simplify Distributed Deep Learning Model Inference Using Delta Lake and Apache Spark™

November 20, 2019 by Cyrielle Simeone in Platform
On October 10th, our team hosted a live webinar— Simple Distributed Deep Learning Model Inference —with Xiangrui Meng, Software Engineer at Databricks. Model...

A Day at the 2019 Women in Product Conference

November 20, 2019 by Anna Shrestinian, Allie Emrich, Julia Han and Rebecca Li in Company
From left to right: Shveta, Julia, Yardley Pohl (a WIP board member and co-founder), Anna, Allie, Cyrielle, and Rani at the Databricks booth...

Azure Databricks Highlights Adoption of Delta Lake, MLflow, and Integration with Azure Machine Learning at Microsoft Ignite 2019

November 20, 2019 by Abhinav Garg and Clinton Ford in Company
Get an early preview of O'Reilly's new ebook for the step-by-step guidance you need to start using Delta Lake. At Microsoft Ignite 2019...

Databricks, AWS, and SafeGraph Team Up For Easier Analysis of Consumer Behavior

November 13, 2019 by Nauman Fakhar in Company
This notebook was produced as a collaboration between SafeGraph and Databricks Ryan Fox Squire, Product Data Scientist @ SafeGraph Andrew Hutchinson, Solutions Architect...

Use Databricks Pools to Speed up your Data Pipelines and Scale Clusters Quickly

November 10, 2019 by Chris Stevens and David Meyer in Company
Data Engineering teams deploy short, automated jobs on Databricks. They expect their clusters to start quickly, execute the job, and terminate. Data Analytics...

Automate and Fast-track Data Lake and Cloud ETL with Databricks and StreamSets

November 6, 2019 by Hiral Jasani and Nauman Fakhar in Partners
Get an early preview of O'Reilly's new ebook for the step-by-step guidance you need to start using Delta Lake. Data lake ingestion is...

Using AutoML Toolkit's FamilyRunner Pipeline APIs to Simplify and Automate Loan Default Predictions

November 5, 2019 by Jas Bali and Denny Lee in Engineering
Try this Loan Risk with AutoML Pipeline API Notebook in Databricks Introduction In the post Using AutoML Toolkit to Automate Loan Default Predictions...
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