Understanding Caching in Databricks SQL: UI, Result, and Disk CachesMay 4, 2023 by Jeremy Lewallen, Chris Stevens, Bogdan Ionut Ghit and Patrick Yang in Data Warehousing Caching is an essential technique for improving the performance of data warehouse systems by avoiding the need to recompute or fetch the same...
Announcing the General Availability of Predictive I/O for ReadsApril 25, 2023 by Shoumik Palkar, Justin Breese, Shant Hovsepian, Kent Marten and Cyrielle Simeone in Platform Blog Today, we are excited to announce the general availability of Predictive I/O for Databricks SQL (DB SQL) : a machine learning powered feature...
Announcing the Public Preview of Predictive I/O for UpdatesApril 25, 2023 by Piyush Revuri, Bart Samwel, Ala Luszczak, Lars Kroll, Polo-François Poli, Frank Munz and Himanshu Raja in Platform Blog Previously, we’ve shown you how a new technology called Predictive I/O could improve selective reads by up to 35x for CDW customers without...
Building Data Applications on the Lakehouse With the Databricks SQL Driver for Node.jsApril 20, 2023 by Andre Furlan Bueno, Can Efeoglu, Levko Kravets and Nithin Krishnamurthi in Platform Blog We are excited to announce the general availability of the Databricks SQL Driver for NodeJS . This follows the recent general availability of...
Building Data Applications on the Lakehouse With the Databricks SQL Driver for GOApril 20, 2023 by Andre Furlan Bueno, Raymond Cypher, Can Efeoglu and Matthew Kim in Platform Blog We are excited to announce the general availability of the Databricks SQL Driver for GO . This follows the recent general availability of...
Introducing AI Functions: Integrating Large Language Models with Databricks SQLApril 18, 2023 by Patrick Wendell, Eric Peter, Nicolas Pelaez, Jianwei Xie, Vinny Vijeyakumaar, Linhong Liu and Shitao Li in Platform Blog With all the incredible progress being made in the space of Large Language Models, customers have asked us how they can enable their...
Visual data modeling using erwin Data Modeler by Quest on the Databricks Lakehouse PlatformApril 5, 2023 by Vani Mishra, Abhishek Dey, Leo Mao, Soham Bhatt and Pradeep Anandapu in Platform Blog This is a collaborative post between Databricks and Quest Software. We thank Vani Mishra, Director of Product Management at Quest Software for her...
Run SQL Queries on Databricks From Visual Studio CodeMarch 29, 2023 by Bilal Aslam, Fabian Jakobs and Shant Hovsepian in Platform Blog Today, we are excited to announce that users can now run SQL queries on Databricks from within Visual Studio Code via a preview...
Databricks SQL Statement Execution API – Announcing the Public PreviewMarch 7, 2023 by Adriana Ispas, Bogdan Ionut Ghit, Ben Fleis and Pearl Ubaru in Platform Blog Today, we are excited to announce the public preview of the Databricks SQL Statement Execution API, available on AWS and Azure. You can...
Data Vault Best practice & Implementation on the LakehouseFebruary 24, 2023 by Leo Mao, Sumit Prakash and Soham Bhatt in Platform Blog In the previous article Prescriptive Guidance for Implementing a Data Vault Model on the Databricks Lakehouse Platform , we explained core concepts of...