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 ...

The second part is LakeFlow Pipelines, which is essentially a version of Databricks’ existing Delta Live Tables framework for implementing data transformation and ETL in either SQL or Python.

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.

In sum, the data corroborate Snowflake’s assertion that its revamped go-to-market engine is landing meaningful net-new ...

Databricks says it’s all in on data and AI for marketers, as cloud data stores sit at the center of many martech stacks. The ...

Databricks Inc. said today it ... Inc. for an undisclosed price so it can enhance its data intelligence platform with real-time feature engineering capabilities. According to Databricks, Fennel ...

Through joint engineering, customers can consistently govern and secure their entire data estate with a combination of Databricks' Unity Catalog and Palantir's military-grade security so ...

Lead data engineer Jake Roussis told a Databricks ... “All we did was take it from being some poorly written Python code and make it purely Databricks SQL with dbt,” he said.

The training will include areas such as data engineering and Databricks’ “lakehouse” architecture, which draws data from various sources to help improve analytics, said Mr Ed Lenta ...