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Releases: dqops/dqo

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.

v1.2.0

25 Apr 12:11
714b089
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1.2.0

  • Small bug fixes
  • Small layout changes (fonts)
  • Updates in the documentation
  • MySQL and Snowflake drivers upgraded
  • Column list shows the status of data quality dimensions
  • Corrections of queries for mysql, oracle
  • The platform tracks the data quality status of tables and columns

v1.1.0

24 Mar 19:56
5fef4b3
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1.1.0

  • Default data quality checks are activated automatically by using table and column search filters, now called as data quality check patterns
  • Support analyzing CSV, JSON and Parquet files directly using DuckDB that is now bundled into DQOps
  • Fixes in supporting dots and other special characters in the table names
  • Incidents are not created for profiling checks, only for monitoring and partitioned checks

v1.0.2

19 Feb 16:03
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1.0.2

  • Changes to the default configuration of the table availability check
  • Use configurable connection pooling when connecting to DQOps Cloud
  • Documentation updates - categories of checks documented.
  • Handling null values in accepted_values checks.
  • Boolean percentage checks support both the minimum and maximum percentage.
  • Incident details shows the histogram correctly in all cases, also avoiding extra calls to the backend.

v1.0.1

30 Jan 15:53
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1.0.1

  • Data dictionaries
  • More efficient watching for running jobs in the notification panel
  • SingleStoreDB connector based on MySQL with integration tests
  • Custom SQL check for importing data quality results from third-party data quality libraries
  • Small corrections in the documentation
  • Pip startup script supports mirrors and retries when downloading the release package
  • MIN and MAX anomalies checks
  • Improvement in the performance of the notification panel

v1.0.0

21 Jan 23:08
82f39de
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1.0.0

  • Apache Spark connector
  • Databricks connector
  • Initial versions of Apache Trino and Presto connectors
  • Updates to dashboards - cross-filtering configured
  • Refactoring towards supporting multiple data domains at the same time
  • Fixes in the UI - table status overview screen, filtering checks related to incidents
  • Support activating and deactivating multiple data quality checks from UI
  • Additional navigation screens for jumping between schemas and tables
  • COMPLETE DOCUMENTATION with examples

v0.4.1

23 Nov 14:49
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0.4.1

  • More Airflow operators - waiting for a data quality job to finish
  • Table quality status summary screen
  • Renames of some dashboards
  • Updates to dashboards - unification of filters
  • Current table status detects statuses at column and check levels, also returning the current and highest historical quality status
  • Fixes in the UI - filtering detailed check results

v0.4.0

09 Nov 21:30
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0.4.0

  • Data quality dashboards reorganized, layout unified
  • Python client and REST API documentation
  • Additional Airflow operators
  • Small bug fixes in the UI
  • DQOps concepts documentation

0.3.0

  • Improvements for running DQOps as a cloud hosted SaaS platform
  • Reorganized data quality dashboard tree to match the structure of checks
  • UI screens for managing the configuration: users, default schedules, notifications and more
  • Airflow operator for running checks

0.2.1

  • Table comparison support
  • Anomaly detection checks renamed
  • Bug fixes

0.2.0

  • Reorganization of all data quality checks
  • User interface created
  • Documentation created for all checks
  • Extensive REST API for all operations
  • Additional connectors for PostgreSQL, MySQL, SQL Server, Oracle

0.1.0

  • Initial command-line version (preview release)

v0.3.0

18 Oct 13:06
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  • Table comparison support
  • Anomaly detection checks renamed
  • Bug fixes