This article was contributed by Gunasekaran S., director of data engineering at Sigmoid. Over the years, cloud data lake and warehousing architectures have helped enterprises scale their data ...

Databricks offers a unified platform for data engineering, allowing data engineers to build, test, and deploy data pipelines efficiently. This is made possible through the platform's scalable and ...

Just as the move to a lakehouse architecture was necessary to enable organizations to proceed with workable governance, security, reliability, and management capabilities, the switch to a data ...

Arctic Wolf is integrating its Aurora security operations platform with the Databricks Data Intelligence Platform to help ...

Databricks, founded in 2013 by the developers of the Spark data analytics engine, is the fast-growing developer of the Databricks Lakehouse Platform for data engineering, data analytics and AI tasks.

One covered basic data science and engineering using the lakehouse architecture provided by Delta Lake. The other two covered machine learning and SQL, respectively.

Until now Databricks has relied on its partners, such as dbt and Fivetran, to provide tools for data preparation and loading, but the introduction of LakeFlow has eliminated the need for third-party ...

Databricks, a big data analytics software provider, today announced that it raised $1.6 billion in a series H financing round led by Counterpoint Global, with participation from BNY Mellon and ...