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Databricks targets data pipeline automation with Delta Live Tables

The company’s new ETL framework aims to cut down the time taken by data scientists and engineers setting up reliable data pipelines and managing infrastructure. ....

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Databricks Announces General Availability of Delta Live Tables

/PRNewswire/ Databricks, the Data and AI company and pioneer of the data lakehouse paradigm, today announced the general availability of Delta Live Tables. ....

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Databricks Launches Data Sharing Initiative, Machine Learning Offering


Databricks Launches Data Sharing Initiative, Machine Learning Offering
Databricks continues to expand its portfolio of big data software around the Databricks Lakehouse Platform – all designed to unify all data, analytics and AI workloads.
By
Rick Whiting June 01, 2021, 06:22 PM EDT
Databricks has launched a project to create an open-source data sharing protocol for securely sharing data across organizations in real time, independent of the platform on which the data resides.
The Delta Sharing initiative, part of Databrick’s open-source Delta Lake project, has already attracted support from a number of data providers, including NASDAQ, S&P and Factset, and leading IT vendors including Amazon Web Services, Microsoft and Google Cloud, according to Databricks. ....

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Leaving Spark behind, Databricks enters new territory as it eyes 2021 IPO


Will its vision for unified analytics fly?
Lindsay Clark
Tue 1 Jun 2021 // 10:05 UTC
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Databricks, the commercial company founded around the popular Apache Spark data lake, is making a strike for new class workloads and enterprise data management jobs in its make-or-break IPO year.
Hawking technology news from the company’s Data + AI Summit, CEO Ali Ghodsi spoke to
The Register about the new technologies. Ghodsi said the firm s efforts to combine the order and SQL queries familiar to data warehousing with the schema-less architecture of data lakes would be pushed more aggressively against established vendors in the data management, analytics and data warehousing. ....

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