Why Apache Iceberg & Open Lakehouse is the Foundation for Data & AI Workloads

Data Engineering with Data Hub on CDP

Run data engineering workloads on Cloudera Data Hub and deploy a Data Hub cluster with Zeppelin and Spark on Cloudera Data Platform.

4:16

External IDE Connectivity - Access Spark from Your Favorite IDE with Cloudera Data Engineering

Cloudera Data Engineering's External IDE Connectivity is powered by Spark Connect API. It enables data engineers to run Spark remotely from their IDE and sync code with GitHub, boosting productivity with streamlined CI/CD.

6:05

Getting started with Cloudera Data Engineering (Polish subtitles)

In this demo we’ll cover how platform administrators and data engineers can use Cloudera Data Engineering as an all-inclusive toolset to streamline ETL processes across enterprise analytics teams.

6:29

Getting started with Cloudera Data Engineering (French)

In this demo we’ll cover how platform administrators and data engineers can use Cloudera Data Engineering as an all-inclusive toolset to streamline ETL processes across enterprise analytics teams.

5:33

Getting started with Cloudera Data Engineering (Portuguese)

In this demo we’ll cover how platform administrators and data engineers can use Cloudera Data Engineering as an all-inclusive toolset to streamline ETL processes across enterprise analytics teams.

6:16

automate-data-engineering-pipelines-to-automate-data-engineering-pipelines-to-power-ml-workflows

36:11