Release: Improved Lineage, Data Catalog Columns Description Bug Fix

✨ New & Improved

• Improved Lineage: More visual improvements on the lineage

🛠 Fixes

• Data Catalog: Descriptions of Tables & Views assets' columns without any Sifflet description configured no longer show up as undefined

App version: v145

Release: AI Suggestions for dataset columns descriptions, conditional monitors for Hive data assets

✨ New & Improved

• AI Suggestions for columns descriptions: Automatically enrich your data assets documentation and ensure the content of your datasets' columns is clear to all data stakeholders
• Conditional monitors for Hive: Create fully custom monitors through the UI on your Hive data assets to get proactively alerted in case of issue

App version: v144

Release: Business Glossary, improved multidimensional monitoring, notifications, and lineage

✨ New & Improved

• Business Glossary: Build a common knowledge of key business terms across your company to avoid misunderstandings and foster a data driven culture for all stakeholders
• Improved Multidimensional Monitoring: You can now create monitor data quality with up to 1000 different dimensions
• Improved Notifications: Quickly access failing monitors and generated incidents from your notifications
• Improved Lineage: Visual improvements on the lineage

App version: v143

Release: SSO Support for more IdPs

✨ New & Improved

• SSO Support for more IdPs: Connect to Sifflet using SSO (SAML2) for any Identity Provider (IdP)

App version: v142

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

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