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# feature-requests
  • h
    i have forked the latest code from datahub repository and trying to build on on local via " ./gradlew quickstart " command however, i am getting build error stating failed to create jar file. please help if anyone has faced similar issue?
    q
    • 2
    • 1
  • l
    featureOS: JDK version update
  • l
    featureOS: support multiple ES client node configurations
  • e
    hi team, does datahub only support iceberg of rest catalog, any other catalog like hms and nessie will be support? great thanks. https://datahubproject.io/docs/generated/ingestion/sources/iceberg/
  • l
    featureOS: 👇 Shirshanka Das changed the status to In Progress
  • l
    featureOS: 👇 Shirshanka Das changed the status to In Progress
  • l
    featureOS: Support GraphQL as integration source
  • l
    featureOS: Support QuestDB as ingestion source
  • l
    featureOS: System name on Dataset
  • l
    featureOS: Dataset lineage on dataset or system level
  • a
    my requirement creates a dataset for each database inside MySQL. Inside each database dataset, creates separate table datasets with names like "table_name" (without the database prefix), and each table dataset contains all the fields for that specific table. from the csv file useing python code is that possible i am getting databasename.tablename
    l
    • 2
    • 1
  • l
    featureOS: Pin Column Stats Headings
  • b
    Are there any plans to expand lineage visualisation? Specifically, I'd like to be able to select multiple objects at once as the starting point of visualization
    l
    m
    • 3
    • 3
  • l
    featureOS: Metabase column level lineage
  • l
    featureOS: Support Tableau Virtual Connections
  • l
    featureOS: S3 Ingest TXT files format
  • l
    featureOS: High-level, Middle-level lineage diagrams of all dataflow
  • l
    featureOS: AWS Quicksight
  • l
    featureOS: Integration with Looker Data Studio
  • m
  • l
    featureOS: Add Greenplum integration
  • b
    With kafka removing zookeeper in 4.0, are there any plans in the roadmap to migrate to a version of kafka running with kraft?
    b
    • 2
    • 2
  • l
    featureOS: Integration with BigQuery Data Profile & Dataplex Data Quality
  • b
    Hi Datahub! As we are using Databricks as our platform we cannot use GE due to the SQL driver limitations, so we are working with dbt tests to get our tests in the validation tab, this works with some configuration. But as Lakehouse Monitoring is being rolled out (https://learn.microsoft.com/en-us/azure/databricks/lakehouse-monitoring/) I was wondering if support for this new databricks feature is on the roadmap to support it in the validation tab. Would be highly convenient to have all our code in one place.
  • d
    Hi everyone 👋 Are there any plans to start using the 
    apache-airflow-providers-openlineage
    for the Airflow-Datahub integration? Our team is planning on adopting Datahub right now, but we have some concerns around whether we'd be able to update our Airflow version without Datahub switching to the new OpenLineage provider package. Thanks!
    d
    • 2
    • 1
  • l
    featureOS: Hide not chosen columns in Lineage Visualization, show only chosen colum and dependents
  • l
    featureOS: Add disabling Avro schema validations retrieved from Schema Registry
  • l
    featureOS: Snowflake Ingestion - Dynamic Table Lineage
  • l
    featureOS: Glue crawler support for correct Delta schema (stored in properties)
  • l
    removed an integration from this channel: featureOS