End-to-end Data Governance with Databricks and Immuta
Read Rise of the Data Lakehouse to explore why lakehouses are the data architecture of the future with the father of the data...
Databricks Demonstrates AWS Platform Integrations at re:Invent 2019
Databricks was proud to be a Platinum sponsor at re:Invent. The past year has been an exciting one for our partnership with AWS...
Processing Geospatial Data at Scale With Databricks
This blog was written 3 years ago. Please refer to these articles for up-to-date approaches to geospatial processing and analytics with your Databricks...
Streamlining Variant Normalization on Large Genomic Datasets with Glow
Cross posted from the Glow blog . Many research and drug development projects in the genomics world involve large genomic variant data sets...
Databricks and Informatica Integration Simplifies Data Lineage and Governance for Cloud Analytics
In a rapidly evolving world of big data , data discovery, governance and data lineage is an essential aspect of data management. As...
New Databricks Integration for Jupyter Bridges Local and Remote Workflows
Introduction For many years now, data scientists have developed specific workflows on premises using local filesystem hierarchies, source code revision systems and CI/CD...
How Databricks and Privacera Combine to Secure Data for Cloud Analytics
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™
On October 10th, our team hosted a live webinar— Simple Distributed Deep Learning Model Inference —with Xiangrui Meng, Software Engineer at Databricks. Model...
Databricks, AWS, and SafeGraph Team Up For Easier Analysis of Consumer Behavior
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
Data Engineering teams deploy short, automated jobs on Databricks. They expect their clusters to start quickly, execute the job, and terminate. Data Analytics...