It has also "moonlighted" as a SQL analytics ... Lake adds real heft to Databricks' "data lakehouse" paradigm, making the data lake a serviceable alternative to a data warehouse in a majority ...

With SQL Analytics, Databricks looks to resolve the data warehouse vs. data lake debate in the big data world. Data warehouses contain data – usually structured – that has been collected and ...

A data warehouse was an analytic database ... Sample data for the tpch.orders Delta file. The Databricks SQL Editor is closely linked to the Data Explorer. In this next screen, we load and ...

Data lakehouse provider Databricks has acquired data platform modernization software provider BladeBridge for an undisclosed sum to help its new customers move from rival data warehouses, such as ...

Microsoft's drive to put Azure SQL Data Warehouse on more equal footing ... Azure Big Data services like machine learning and Azure Databricks. In recent months, Microsoft has made significant ...

The first generation of Azure SQL ... Databricks shines in the realms of data engineering and machine learning; Synapse is the service you'll want if MPP (massively parallel processing) data ...

It leverages open formats and standard ANSI SQL, offering an in-platform SQL editor and dashboarding ... A cloud data warehouse coupled with Databricks’ Lakehouse architecture creates a true ...

Databricks Inc., the distributed data unicorn ... along with architectural changes that enable SQL queries to exploit cached data more efficiently. It also rewrote its engine from scratch in ...

AI and data analytics company Databricks today announced the launch of SQL Analytics, a new service that makes it easier for data analysts to run their standard SQL queries directly on data lakes.