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How Databricks makes distributed sites successful

January 7, 2020 by in
Credit: Pexels.com Databricks recently announced signing a lease for new office space in Toronto. After Amsterdam, Toronto is our second geographically-distributed engineering site...

YipitData Example Highlights Benefits of Databricks integration with AWS Glue

At Databricks, we have partnered with the team at Amazon Web Services (AWS) to provide a seamless integration with the AWS Glue Metastore...

Make Your Data Lake CCPA Compliant with a Unified Approach to Data and Analytics

Get an early preview of O'Reilly's new ebook for the step-by-step guidance you need to start using Delta Lake. With more digital data...

End-to-end Data Governance with Databricks and Immuta

December 10, 2019 by Hiral Jasani in
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

December 9, 2019 by Brian Dirking in
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

December 4, 2019 by Nima Razavi and Michael Johns in
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

December 4, 2019 by Kiavash Kianfar in
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

December 4, 2019 by Hiral Jasani and Nauman Fakhar in
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

December 2, 2019 by Bernhard Walter in
Introduction For many years now, data scientists have developed specific workflows on premises using local filesystem hierarchies, source code revision systems and CI/CD...

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

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