Catalog collector release notes

Qlik Replicate collector: Fixed an issue where some properties and relationships were not appearing in the catalog, ensuring complete metadata capture.

Dremio collector: Fixed metadata inconsistencies for Virtual Datasets, improving catalog accuracy and asset linking.

Tableau collector: Fixed lineage capture for Dremio data sources, ensuring complete data flow visibility.

Tableau collector: Fixed incorrect classification of tables as schemas when custom SQL uses unqualified table references, improving metadata accuracy.

Microsoft SQL Server collector: Added warning message when the distributor server cannot reach the publisher database, improving troubleshooting for replication configurations.

Sensitive Data Classification: Added support for ServiceNow Vault Discovery, enabling classification of sensitive data stored in ServiceNow Vault fields.

Microsoft Fabric collector: The collector now harvests variable libraries, expanding metadata coverage for Fabric workspaces.

ADLS collector: Corrected descriptions for Azure Blob Storage and ADLS Gen2 harvesting options, improving configuration clarity.

Dremio collector: Fixed Object not found error when harvesting column statistics, ensuring complete metadata collection.

ServiceNow collector:

Databricks collector: Added option (--governance-metadata-collection) to harvest Unity Catalog governance metadata, enabling enhanced data governance visibility for Databricks environments.

Microsoft Fabric collector: Added support for Oracle table datasets, expanding metadata coverage for Fabric workspaces.

Power BI Service and Microsoft Fabric collectors: Fixed an issue where large formulas in measures and calculated columns were not being cataloged, ensuring complete metadata capture for complex calculations.

Azure Data Factory collector: Fixed an issue where certain pipeline variable structures caused collection failures, improving collector stability.

AWS Glue collector: Support added for harvesting metadata from multiple AWS regions in a single run, improving efficiency for multi-region environments. The collector now also harvests table parameters (advanced properties), expanding metadata coverage.

ServiceNow collector: The collector now harvests Vault classification metadata, providing enhanced data governance visibility.

BigQuery collector:

Databricks collector: Fixed Service Principal authentication failures, ensuring reliable authentication.

Dremio collector: Fixed an issue where out-of-scope schemas were being collected during API calls, improving collection accuracy.

Tableau collector:

Oracle collector:

Snowflake, Redshift, Databricks, Denodo, Dremio, Oracle, PostgreSQL, Teradata, MySQL, Db2, Netezza, SQL Server, SAP HANA collectors: Fixed errors when encountering Infinity float values in numeric columns, preventing data type errors.

Microsoft Fabric collector: Fixed an issue where Direct Lake tables displayed null schema names when the source schema was not explicitly defined, improving metadata accuracy.

Hive Metastore collector: New collector added for Hive Metastore, enabling direct metadata harvesting from the Hive Metastore database (PostgreSQL, Oracle, MySQL/MariaDB, or SQL Server) without requiring HiveServer2. The collector harvests databases, schemas, tables, columns, Hive-specific table properties, and basic view lineage. This provides a lightweight alternative for environments where HiveServer2 is unavailable or when only structural metadata is needed.

This collector replaces the existing Hive and Hive Metastore collectors.

Snowflake, Redshift, Databricks, Denodo, Dremio, Oracle, PostgreSQL, Teradata, MySQL, Db2, Netezza, Microsoft SQL Server, and SAP HANA collectors: Added sample data preview capability, enabling the catalog to display sample of table data. When Sensitive Data Classification is enabled, sensitive columns are automatically masked in the preview, ensuring secure data visibility.

Snowflake, Redshift, Databricks, Denodo, Dremio, Oracle, PostgreSQL, Teradata, MySQL, Db2, Netezza, SQL Server, SAP HANA collectors: Reduced unnecessary warning messages during SQL lineage processing, improving log clarity.

BigQuery collector: The collector now harvests primary and foreign keys, expanding metadata coverage for BigQuery table relationships.

All collectors: Fixed an issue where boolean false values in YAML configuration files were not properly recognized.

Snowflake, Redshift, Databricks, Denodo, Dremio, Oracle, PostgreSQL, Teradata, MySQL, Db2, Netezza, SQL Server, SAP HANA collectors: Resolved memory issues when processing columns with very large string values, improving collector stability.

Tableau collector: Improved handling of recursive field queries, enhancing collection reliability for complex Tableau workbooks.

Qlik Replicate collector: New collector added for Qlik Replicate, enabling metadata harvesting from Qlik's data replication platform.

Snowflake, Redshift, Databricks, Denodo, Dremio, Oracle, PostgreSQL, Teradata, MySQL, Db2, Netezza, SQL Server, SAP HANA collectors: Fixed column statistics metrics to ensure consistent data type handling across database sources.

Microsoft SQL Server collector: The collector now collects usage metrics, providing insights into table and query access patterns.

BigQuery collector: Support added for harvesting multiple BigQuery projects in a single run, improving efficiency for multi-project environments.

Qlik Talend Data Integration collector: Resolved an issue that caused collector failures in certain configurations.

ServiceNow collector: Improved metadata structure for tables and fields, ensuring better catalog integration.

Airflow collector: Support added for for Airflow 3.x, enabling metadata collection from the latest Airflow version.

ServiceNow collector: The collector now harvests data interfaces, expanding metadata coverage.

Snowflake collector: Added support for semantic views, providing metadata capture for Snowflake's business-friendly data representations.

SQL Server Integration Services (SSIS) collector: Added lineage support for tables and SQL statements with variable references, improving lineage accuracy for dynamic SSIS workflows.

Databricks collector: Fixed regex used for parsing metric views, resolving parsing errors for certain metric view configurations.

Microsoft Fabric collector: Fixed an issue that occurred when property values were not present, improving collector stability.

Power BI Service and Microsoft Fabric collectors: Performance improvement while harvesting calculation groups, reducing collection time for Power BI models with calculation groups.

Microsoft SQL Server collector: Addressed issues with sample data size, ensuring consistent sample data collection across different table sizes.

ServiceNow collector: Fixed CatalogingEventReporter when off the main thread, resolving threading issues during collection.

Databricks collector:

Snowflake collector: Added Tasks harvesting capability, providing complete visibility into Snowflake automated processes and dependencies.

Microsoft Fabric and Power BI Service collectors: Support for harvesting Paginated Power BI Reports, including preview images, extending metadata coverage for Power BI assets.

Microsoft Fabric collector: Added page size configuration and improved logging for better performance monitoring and troubleshooting.

SQL Server Integration Services (SSIS) collector:

Tableau collector: Fixed null pointer exception (NPE) in field harvesting.

Tableau collector: Added an option to exclude hidden fields within published data sources.

Microsoft Fabric collector: Added an option to exclude internal Delta table files from Lakehouse file cataloging, reducing noise in harvested metadata.

Snowflake collector: Now logs warnings for unsupported stage references in SQL, improving transparency during lineage harvesting.

Athena collector: Added include/exclude options for databases, giving users more control over collection scope.

Snowflake, Redshift, Databricks, Denodo, Dremio, Oracle, PostgreSQL, Teradata, MySQL, Db2, Netezza, SQL Server, SAP HANA collectors: Reorganized database index harvesting for improved structure and consistency.

Power BI and Microsoft Fabric collectors: Fixed the relationship between semantic models/dataflows and data sources to properly represent uses relationships, improving lineage accuracy.

Tableau collector: Corrected embedsView relationships for unpublished views in published dashboards, ensuring complete dashboard-to-view associations.

OpenAPI collector: Added handling to prevent a null pointer exception when expected content is missing from an OpenAPI specification.

Tableau collector: Ensured that published dashboards correctly include embedsView relationships, even when they contain unpublished sheets.

ServiceNow collector: Fixed an issue in the generation of IRIs for database tables referenced by other resources, ensuring consistent and accurate identification of those tables in the catalog.

Microsoft Fabric collector: Added support for harvesting EventStream resources, enabling lineage tracking for Fabric’s real-time streaming data pipelines.

dbt collector: Corrected resource identifier generation for tables to match BigQuery collector format, ensuring proper lineage connections between dbt models and their underlying BigQuery tables.

OpenAPI collector: Added support for OpenAPI 3.1’s updated nullable type syntax, ensuring schemas using the latest specification version are parsed correctly.

SSIS collector: Fixed parsing of SSIS dataflow tasks to handle a wider variety of schema and table name patterns in SQL queries.

Redshift collector: Added support for harvesting lineage from stored procedures, improving visibility into procedural data transformations.

ServiceNow collector: Improved pagination handling to ensure results are fully harvested when total counts do not equal 100, preventing missing resources in larger result sets.

Tableau collector: Fixed a defect affecting sheet-to-dashboard associations, ensuring relationships are harvested accurately.

Go here to access release notes for previous version.