Hi Team I want to understand how to enable validation feature and queries feature in datahubon DataHub.

The validation tab is enabled only if you have Great expectations data quality checks -> https://datahubproject.io/docs/metadata-ingestion/integration_docs/great-expectations/ Query tab is enabled if you ingest usages to datahub. Sources that support usages are Bigquery, Redshift, Snowflake, Trino. They have a separate usage source that you need to run. For example this is for Bigquery -> https://datahubproject.io/docs/generated/ingestion/sources/bigquery#module-bigquery-usage

What do you mean by usages?

• Statistics on queries issued and tables and columns accessed (if column access supported) • Aggregation of these statistics into buckets, by day or hour granularity

Is any other source supported except the following for enabling query tab: Bigquery, Redshift, Snowflake, Trino

Which source do you need this?

I need it for Oracle, Mysql, Mongodb, Hive and Kafka

Usage is not supported unfortunately on these platforms currently.

I want to install the pip install great-expectations package. Can you please tellme where should I fire the command? Should it be in acryl pod or gms pod? I will be using the following command pip install 'acryl-datahub[great-expectations]'

you need to install where your Great Expectation runs as it is a Great Expectation Action

I did not get it Do I need to change something in yaml and redeploy?