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Introducing Lakehouse for Healthcare and Life Sciences

March 8, 2022 by Michael Sanky and Michael Ortega in
Each of us will likely generate millions of gigabytes of health data in our lifetimes: medical and pharmacy claims, electronic medical records with...

Enabling Zero Trust in the NOC With Databricks and Immuta

This post was written in collaboration with Databricks partner Immuta. We thank Sam Carroll, Partner Solutions Architect, Immuta, for his contributions. Imagine you...

Hyper-Personalization Accelerator for Banks and Fintechs Using Credit Card Transactions

March 3, 2022 by Antoine Amend in
Just as Netflix and Tesla disrupted the media and automotive industry, many fintech companies are transforming the Financial Services industry by winning the...

Building a Similarity-based Image Recommendation System for e-Commerce

February 28, 2022 by Avinash Sooriyarachchi in
Why recommendation systems are important Online shopping has become the default experience for the average consumer – even established brick-and-mortar retailers have embraced...

Databricks Ventures Partners With dbt Labs to Welcome Analytics Engineers to the Lakehouse

Today, we are thrilled to announce Databricks Ventures’ investment in dbt Labs. With this investment, we are proud to support the growth of...

Get to Know Your Queries With the New Databricks SQL Query Profile!

February 22, 2022 by Bilal Aslam and Lucas Cerdan in
Databricks SQL provides data warehousing capabilities and first class support for SQL on the Databricks Lakehouse Platform - allowing analysts to discover and...

Databricks Ventures Invests in Arcion to Enable Real-Time Data Sync with the Lakehouse

February 17, 2022 by Andrew Ferguson in
Databricks customers, regardless of size and industry, are increasingly seeking to unify their data onto a single platform. To do this, they need...

Beyond LDA: State-of-the-art Topic Models With BigARTM

February 15, 2022 by Srijith Rajamohan, Ph.D. in
This post follows up on the series of posts in Topic Modeling for text analytics. Previously , we looked at the LDA (Latent...

How Gemini Built a Cryptocurrency Analytics Platform Using Lakehouse for Financial Services

This blog has been co-authored by Gemini. We would like to thank the Gemini team, Anil Kovvuri and Sriram Rajappa, for their contributions...

Lakehouse for Financial Services: Paving the Way for Data-Driven Innovation in FSIs

February 14, 2022 by Antoine Amend and Junta Nakai in
When it comes to “data-driven innovation,” financial service institutions (FSI) aren’t what typically come to mind. But with massive amounts of data at...