Release: Field level tagging, classification tags, and AI Suggestions

✨ New & Improved

  • Field level tagging: Add tags to your Tables & Views asset columns
  • Classification tags: Leverage classification tags to categorize your data assets according to key characteristics such as PII or Low Cardinality
  • AI suggestions: Take advantage of machine learning based suggestions to categorize your data assets and monitors more accurately and comprehensively

🛠 Fixes

  • Tableau lineage with data warehouses: Fixed a bug where sometimes the lineage was not taken into account with data warehouses

App version: v139

Minor Release: Sifflet now also supports older version of Tableau Server

✨ New & Improved

  • Tableau Server: Sifflet now supports older version of Tableau server (< 2021)

App version: v136

Release: Hive on Cloudera integration

✨ New & Improved

  • Hive on Cloudera Integration (beta): you can now connect Sifflet to Hive on Cloudera. For more information, you can refer to this page.
  • SQL Queries formatting for custom monitors
  • Data Catalog: you can now optionally search on your data asset field names & descriptions. For more information, you can refer to this page.

App version: v135

Release: Athena integration

✨ New & Improved

  • Athena Integration (beta): you can now connect Sifflet to Athena, visualise and monitor your S3 objects. For more information, you can refer to this page.

🛠 Fixes

  • Fixed a bug on graphs where the cursor would sometimes freeze when hovering over

App version: v134

Product Release 2023-04-12

by Wissem Fathallah

Release: Usage information on Tableau dashboards

✨ New & Improved

Tableau Usage (beta): We are extending our data assets usage to Tableau dashboards. With this release, Tableau users can identify the most and least popular dashboards based on the number of views. With this visibility, data teams can better prioritize data quality incidents for business-aware troubleshooting.

🛠 Fixes

We have fixed a Bug in the Slack integration preventing users from connecting their Slack to Sifflet and refreshing their channels list.

App version: v130

Release: New Catalog and new ML-based monitoring on data assets without time fields

✨ New & Improved

  • New Catalog and data assets pages: Introducing our new catalog to make it easier for data users to find and access the data they need and get all its context and health status in one central place. This includes advanced filtering to narrow down search results, more insights around the data assets, and better navigation between different pages and sub-pages.
  • ML-based monitoring on data assets without time fields and Time Travel support: Users can now create ML-based monitors on tables and views even if it does not have any time field. Leveraging Time Travel capabilities on BigQuery, Databricks, and Snowflake, ML-based monitors can track how the data has been changing to detect data quality anomalies by traveling in its past versions.
    If users do not have Time Travel on their data warehouses, the monitors will continuously take snapshots of the data at every run to reproduce the time-traveling capability.

🛠 Fixes

We have fixed minor bugs impacting partitioned tables monitoring and lineage computation between Tableau and data warehouses.

App version: v126

Minor Release: Fixed a bug on some graphs

🛠 Fixes

  • Fixed a bug on some graphs which did not display the correct confidence band

App version: v125

Release: Declarative Lineage and BigQuery Partition Tables

✨ New & Improved

  • BigQuery Partition: Sifflet now automatically ingests BigQuery partitions. They will directly reflect in your Monitors settings
  • Declarative Lineage: In some cases, Sifflet doesn't have enough pieces of information to retrieve and compute the lineage, in particular for orchestrators like Airflow. For these cases, you can now add programmatically the links and nodes in your lineage. Users can declare and associate your orchestrator node to your dbt model.
    You can find more information here.

App version: v124