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Releases: dqops/dqo

v1.9.0

09 Oct 19:39
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1.9.0

  • SAP HANA support
  • IBM DB2 support
  • Improvements to the anomaly rules
  • Missing UI for the data domains added
  • Incident histogram shows time periods, not the execution day
  • Incident notifications fixed to send notifications used a dedicated queue and work even when fallback addresses are not configured
  • Data lineage flow diagrams
  • Table similarity search to build data lineage
  • Table and column screens have a new primary tab to show the data observability status, which is a shortened status
  • Basic statistics are scheduled by CRON and reuse the profiling schedule
  • Connections support configuring a CRON expression to import new tables

v1.8.0

21 Sep 20:32
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1.8.0

  • Small layout fixes in the UI, mostly related to the colors of issue severity colors
  • Documentation for the data quality process and rule mining
  • Duplicate record detection check
  • Some column-level checks fixed to skip NULL values, instead of treating them as invalid (not passing checks)
  • Store data lineage definition (links to source tables)
  • Default observability check patterns renamed to data quality policies
  • Default quality policy named "default" deleted, and replaced with multiple smaller policies to allow more control

v1.7.0

21 Aug 09:49
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1.7.0

  • Rule miner that proposes data quality rule configuration
  • Notifications can be filtered by various parameters, allowing to send notifications to the correct teams
  • Estimated word count checks added to support analyzing data for GenAI use cases
  • Some pattern validation checks renamed to use a unified naming convention "invalid" in the check names

v1.6.2

28 Jul 16:15
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1.6.2

  • Race condition in the table status cache fixed.

v1.6.1

27 Jul 12:34
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1.6.1

  • Incident notification supports emails
  • Small bug fixes in the check editor
  • Additional check to detect empty columns
  • Copying data quality check patterns

v1.6.0

22 Jul 21:44
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1.6.0

  • Fixes to some error sampling templates
  • Redesigned data quality check editor to work in a simplified mode
  • JDBC drivers are pre-loaded to avoid issues with automatic registration of JDBC drivers by Java
  • Delta Lake and Iceberg support
  • Global incident screen redesigned to show the counts of incidents

v1.5.0

03 Jul 18:36
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1.5.0

  • Error sampling
  • DuckDB 1.0.0 upgrade
  • Global incident management screen
  • Support for analyzing flat files on GCP
  • Freshness anomaly check
  • Filtering tables by name on the table import screen

v1.4.1

05 Jun 15:07
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1.4.1

  • Small fixes to the code that calculates the current data quality status of tables and columns
  • Fixed permalinks to screens
  • Small changes to handling empty tables in column level data quality checks
  • Incident generation fixed for monitoring checks (full table scan checks)

v1.4.0

29 May 21:58
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1.4.0

  • Ensure that only one instance of DuckDB engine is loaded
  • Profiling and monitoring checks do not render the group by time period (current time)
  • Small UI fixes
  • Default check patterns (profiles) support disabling and targeting multiple tables and columns
  • Global search screens to show tables and columns, filtered by labels
  • Data quality check recalibration for failed data quality checks initiated from an incident details screen

v1.3.0

09 May 18:54
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1.3.0

  • Screens that show a list of tables and the data quality status divided by data quality dimensions
  • Analyze nested values in JSON fields
  • Analyze files on Azure storage buckets, using the az:// prefix.