Analytics how-to index (tutorials)

Analytics provides advanced data processing using Databricks.

Analytics provides advanced data processing using Databricks.

Typically used after:


Video trainings

We have conducted four Databricks trainings for our Analytics users and we can share with you the recordings. To get them, send your request for Data Platform Databricks training through Veracity support.

Getting started with Analytics

Topic Description Interface Documentation Video
Understand how platform data is available in Analytics Access platform data in Analytics Analytics Documentation
Use the Analytics workspace and notebooks Work with notebooks and workspace Analytics Documentation

Workspace and notebooks

Topic Description Interface Documentation Video
Use libraries in Analytics Manage libraries in workspace Analytics Documentation
Upload and use a local Python script Use local scripts in Analytics Analytics Documentation
Use DevOps/Git integration Integrate with Git repositories Analytics Documentation

Read data and files

Topic Description Interface Documentation Video
Read datasets in Analytics Access datasets in Analytics Analytics Documentation
Read files in Analytics Access file storage in Analytics Analytics Documentation

Write tables and files

Topic Description Interface Documentation Video
Create new tables Create new tables in Analytics Analytics Documentation
Write new files Write files to volume (file storage) Analytics Documentation

Compute and configuration

Topic Description Interface Documentation Video
Configure compute Configure compute resources Analytics Documentation
Best practices General guidance for Analytics usage Analytics Documentation

External connectivity

Topic Description Interface Documentation Video
Connect to other data sources Integrate external data sources Analytics Documentation

AI in Databricks

Topic Description Interface Documentation Video
Use AI in Databricks Use AI capabilities in Analytics Analytics Documentation