Databricks 101: An Introductory Guide on Navigating and Optimizing this Data Powerhouse
Databricks 101: An Introductory Guide on Navigating and Optimizing this Data Powerhouse
In an era where data reigns supreme, the tools and platforms that businesses utilize to harness and analyze their data can make or break their competitive edge. Among these, Databricks stands out as a powerhouse, yet navigating its complexities often feels like deciphering cryptic code. With businesses generating an average of 2.5 quintillion bytes of
Noa Shavit
16 Jul 2024
Blog
What is Databricks Unity Catalog (and Should I Be Using It)?
What is Databricks Unity Catalog (and Should I Be Using It)?
To help in your understanding, we wrote this blog post to address the question, “What is Databricks Unity Catalog?” and whether users should be using it (the answer is yes). We walk through a precise technical answer, and then dive into the details of the catalog itself, how to enable it and frequently asked questions.
Jeffrey Chou
29 May 2024
Blog
March 2024 Release Notes
March 2024 Release Notes
Our team has been hard at work to deliver industry-leading features to support users in achieving optimal performance within the Databricks ecosystem. Take a look at our most recent releases below. Worker Instance Recommendations Introducing Worker Instance Recommendations directly from the Sync UI. With this feature, you are able to tap into optimal cluster configuration
Jeffrey Chou
26 Mar 2024
News
How Forma.ai improved their Databricks costs quickly and easily with Gradient
How Forma.ai improved their Databricks costs quickly and easily with Gradient
Forma.ai is a B2B SaaS startup based in Toronto, Canada building an AI powered sales compensation system for enterprise. Specifically, they seamlessly unify the design, execution, and orchestration of sales compensation to better mobilize sales teams and optimize go-to-market performance. Behind the scenes, Forma.ai deploys their pipelines on Databricks to process sales compensation pipelines for their
Jeffrey Chou
12 Feb 2024
Case Study
Sync Computing Partners with Databricks for Lakehouse Job Cluster and Usage Optimization
Sync Computing Partners with Databricks for Lakehouse Job Cluster and Usage Optimization
Sync Computing Partners with Databricks for Lakehouse Job Cluster and Usage Optimization — Self-improving machine learning algorithms provide job cluster optimization and insights for Databricks users
Jeffrey Chou
01 Feb 2024
Press
Why Your Data Pipelines Need Closed-Loop Feedback Control
Why Your Data Pipelines Need Closed-Loop Feedback Control
Realities of company and cloud complexities require new levels of control and autonomy to meet business goals at scale
Jeffrey Chou
10 Sep 2023
Blog