At its annual Data + AI Summit, Databricks announced a new data engineering solution ... Pipelines enable users to implement data transformation and ETL in either Python or SQL. This feature also ...

Ingest data from databases, enterprise apps and cloud sources, transform it in batch and near real-time using SQL and Python ... engineering via a single, unified experience built on the ...

LakeFlow simplifies all aspects of data engineering via a single, unified experience built on the Databricks Data Intelligence Platform ... to implement data transformation and ETL in SQL or Python.

They support multiple languages, including Python, Scala, and SQL ... Data engineering is one of the critical use cases of Databricks. Databricks offers a unified platform for data engineering, ...

“Writing Spark jobs in Scala is the native way of writing it,” Airbnb engineer Zach Wilson ... note the level of usage that Python-developed jobs are getting on the Databricks platform, which is one ...

It allows for more efficient data management and streamlines data engineering workflows ... for technical and developer use cases: Databricks can run Python, Spark Scholar, SQL, NC SQL, and ...

I think a lot of customers see Databricks’ strength in data engineering and analytics, but actually we've got this amazing DBSQL warehouse,” he says. While data warehousing does not capture ...