With LakeFlow, Databricks users will soon be able to build their data pipelines and ingest data from databases like MySQL, Postgres, SQL Server and Oracle, as well as enterprise applications like Salesforce, Dynamics, Sharepoint, Workday, NetSuite and Google Analytics.
In a way, getting data into a data warehouse or data lake should indeed be table stakes because the real value creation happens down the line.
The first is LakeFlow Connect, which provides the connectors between the different data sources and the Databricks service.
It’s fully integrated with Databricks’ Unity Data Catalog data governance solution and relies in part of technology from Arcion.
Databricks is rolling out the LakeFlow service in phases.
Data transformation and optimization — tasks that many, if not most, large enterprises deal with — aren’t easy.
The result was Coalesce, a San Francisco-based company building a suite of data transformation services, apps and tools.
“The data transformation layer has long been the largest bottleneck in analytics,” Petrossian, Coalesce’s CEO, told TechCrunch.
Coalesce’s response is a platform that standardizes data while automating the more repetitive, mundane data transformation processes.
That sort of vendor lock-in could be an anathema to expansion, especially given that Coalesce isn’t the only data transformation tool vendor in town.
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