Skip to main content
<
Page 28
>

How To Migrate Your Oracle PL/SQL Code to Databricks Lakehouse Platform

February 13, 2023 by Laurent Léturgez, Leo Mao and Soham Bhatt in
Oracle is a well-known technology for hosting Enterprise Data Warehouse solutions. However, many customers like Optum and the U.S. Citizenship and Immigration Services...

Databricks Expands Brickbuilder Solutions for Migrations in EMEA

February 7, 2023 by Michael Lumb in
Today, we're excited to announce that Databricks has expanded Brickbuilder Solutions by collaborating with key partners in Europe, the Middle East, and Africa...

Announcing Multi-Cloud support for Security Analysis Tool (SAT)

Last November, we announced the availability of the Security Analysis Tool (SAT) for AWS on our blog . Today we are excited to...

Announcing Support for Enhanced Fan-Out for Kinesis on Databricks

Historically, conventional wisdom held that stream processing is the domain of strictly low latency, operational use cases like sub-second inventory updates on an...

Introducing Upgrades to Databricks Notebooks - New Editor, Python Formatting, and More

Databricks Notebooks offers a simple, unified environment for anyone building Data and AI products. Today we are excited to introduce updates to the...

Best Practices and Guidance for Cloud Engineers to Deploy Databricks on AWS: Part 2

January 27, 2023 by JD Braun and Al Thrussell in
This is part two of a three-part series in Best Practices and Guidance for Cloud Engineers to deploy Databricks on AWS. You can...

Work With Large Monorepos With Sparse Checkout Support in Databricks Repos

January 26, 2023 by Vaibhav Sethi and Xiaodong Wang in
For your data-centered workloads, Databricks offers the best-in-class development experience and gives you the tools you need to adhere to code development best...

Loading a Data Warehouse Slowly Changing Dimension Type 2 Using Matillion on Databricks Lakehouse Platform

January 25, 2023 by David Wilmer and Abhishek Dey in
This is a collaborative post between Databricks and Matillion. We thank David Willmer, Product Marketing at Matillion, for his contributions. As more and...

Bringing Models and Data Closer Together

January 25, 2023 by Lu Wang, Jimmy Xu, Wenfei Yan and Justin Wei in
We are excited to announce a new AutoML capability to quickly and easily use Feature Store data to improve model outcomes. AutoML users...

Enabling Operational Analytics on the Databricks Lakehouse Platform With Census Reverse ETL

January 24, 2023 by Prasad Kona and Parker Rogers in
This is a collaborative post from Databricks and Census. We thank Parker Rogers, Data Community Advocate, at Census for his contributions. In this...