Databricks announced that the company will contribute all features and enhancements it has made to Delta Lake to the Linux Foundation and open source all Delta Lake APIs as part of the Delta Lake 2.0 release. In addition, the company announced MLflow 2.0, which includes MLflow Pipelines, a new feature to accelerate and simplify ML model deployments. Finally, the company introduced Spark Connect, to enable the use of Spark on virtually any device, and Project Lightspeed, a next generation Spark Structured Streaming engine for data streaming on the lakehouse.
Databricks Announces General Availability of Delta Live Tables
April 6, 2022 by
Databricks, the Data and AI company and pioneer of the data lakehouse paradigm, announced the general availability of Delta Live Tables (DLT), the first ETL framework to use a simple declarative approach to build reliable data pipelines and to automatically manage data infrastructure at scale. Turning SQL queries into production ETL pipelines often requires a lot of tedious, complicated operational work. By using modern software engineering practices to automate the most time consuming parts of data engineering, data engineers and analysts can concentrate on delivering data rather than on operating and maintaining pipelines.
Dremio Announces Open and Forever-Free Lakehouse Platform, Dremio Cloud, In Partnership with AWS
March 2, 2022 by
Dremio, the lakehouse company, announced the general availability of Dremio Cloud, the free data lakehouse platform and the addition of two new services: Dremio Sonar, a lakehouse engine built for SQL, and Dremio Arctic, a metadata and data management service for Apache Iceberg that provides a unique Git-like experience for the lakehouse. Dremio Sonar is now generally available, and Dremio Arctic is in public preview.
