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Databricks today rolled out a new open table format in Delta Lake 3.0 that it says will eliminate the possibility of picking the wrong one. Dubbed Universal Format, or UniForm, the new table format ...
But now the entirety of the Delta table format is going open source, as the creator of Delta explained this week at the Data + AI Summit. Prior to Delta, data lakes and data warehouses occupied ...
New release unifies lakehouse storage formats and reinforces Delta Lake as the best choice for building an open lakehouse SAN FRANCISCO, June 28, 2023 /PRNewswire/ -- Databricks, the Data ...
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Snowflake claims Iceberg wins table format wars, and Databricks has just proved itAnd a little more than a year later, Databricks — developer of rival format Delta Lake — shelled out $1 billion for Tabular, founded by the people who developed Iceberg while working for Netflix.
Databricks, the analytics and AI giant, has acquired data management company Tabular for an undisclosed sum.(CNBC reports that Databricks paid over $1 billion.). According to Tabular co-founder ...
Fifth major open source project initiated by Databricks launches with broad support from data providers and analytical software vendors SAN FRANCISCO, May 26, 2021 /CNW/ -- Today, at the Data + AI ...
The Delta format is an enhancement of the Parquet format. Before you can do much with a Databricks notebook or workspace, you need to create or access a compute cluster and attach it to the ...
Databricks on Wednesday introduced a new version of its data lakehouse offering, dubbed Delta Lake 3.0, in order to take on the rising popularity of Apache Iceberg tables used by rival Snowflake.
Tabular is based in San Jose, CA, and was founded in 2021 by Ryan Blue, Daniel Weeks and Jason Reid, former Netflix employees and the creators of the open source data 'lakehouse' format Apache Iceberg ...
Today, Databricks announced the release of Delta Lake 3.0 with a universal format allowing support for Apache Iceberg and Hudi. Skip to main content Events Video Special Issues Jobs ...
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