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Data Quality & Observability

Created Nov 18, 2023

25 members

221 discussions

The Data Quality & Observability section of the Collibra Community is focused on ensuring trust in data through quality monitoring and observability practices. It’s where users explore tools, workflows, and strategies to assess, track, and improve the health and reliability of their data assets across the enterprise.

Data Quality & Observability
                   
                                       
  • Asset Import & Export

    Asset Import & Export

    8 members

    16 discussions

             
  • danestep

    danestep

    3 days ago
    DG to DQ Valid Values Rule Updates
    Is there any way to take advantage of DG Code sets within CDQ Custom Rules? I am wanting the steward work within the catalog and affiliated code sets to become the updated input into a data class / data quality rule. The desired outcome is that the definition of valid values can be owned by the catalog steward, and as they are updated, the job has maintenance applied by accepting updates or referring back to the current catalog resources. Today we're hardcoding the rules and would be updating in a very manual notification way. Thank and Regards, Dan
                                           
    0
             
  • emiliawalencik1

    emiliawalencik1

    8 days ago
    Asset Quality Page
                             
    Hello there, Can anyone guide me on how to set up the aggregation path and relations to view different charts representing various quality dimensions? I'm failing to do so, I have no idea where I'm making a mistake. This is the quality tab view I currently see: This is the aggregation path I created: This is a traceability diagram:
                                           
    0
             
  • sudhirnune

    sudhirnune

    18 days ago
    SAP S4 - ECC Connectivity to Collibra DQ View HANA and Performances Impact
    We are planning to connect to SAP S4 ECC over HANA backend for running Data Quality rules. We would like to understand if we have implemented this connectivity to S4 HANA Backend of ECC applications. If yes need help with Did you choose Pull Up / Push Down Do you see any issue with the performance of the S4 been impacted Any sizing / performance bench marks created
                                           
    0
             
  • hyoosaf

    hyoosaf

    1 month ago
    Postgres metastore tables where the metabar details of Collibra DQ dataset findings page are stored
                             
    Hello there, Can anyone help me understand from which Postgres metastore tables the metabar details of Collibra DQ dataset findings page are fetched - Screenshot attached. To be more specific, would like to know where the below are stored : 1.column count 2.Source details 3.Data Category Thanks, Hazeena
                                           
    4
             
  • Dan_Everett

    Dan_Everett

    1 month ago
    Understanding Rule Scores
    There is some new documentation to help you better understand rule scores. https://productresources.collibra.com/docs/collibra/latest/Content/DataQuality/DQCoreComponents/Rules/co_rules-score.htm
                                           
    3
             
  • saritawaghmare

    saritawaghmare

    4 months ago
    Rule migration from DQ to DG(DQ to DG rule integration)
    HI Team, I need to know rule created in DQ i.e. migration from DQ to DG. Kindly guide or provide link if any video or documentation related to this. Thanking you. Regards, Sarita
                                           
    2
             
  • user_c96dfe

    user_c96dfe

    4 months ago
    Best practices for integration of CDQ results in DIP
    By default, CDQ creates three domains per tenant and/or dataset in DIP when activating an integration. Are there any best practices how to structure the assets in DIP?
                                           
    1
             
  • Community_Alex

    Community_Alex

    5 months ago
    The Education team is proud to announce a new Data Quality Steward Certification available to our customers and partners!
    The Education team is proud to announce a new Data Quality Steward Certification available to our customers and partners! Administered through our new testing platform, Certiverse, this exam features enhancements such as ID verification, exam proctoring, and automatic badging for those who pass. Want more information about the role and what the exam covers?   Check out the factsheet . Want to prepare for the certification exam?   Take our new DQ Steward learning path . Ready to enroll in the exam? Visit the Certifications page on   university.collibra.com . The cost of the exam is $125 (paid via credit card): Premium Education subscribers are given two free exam attempts Take the exam before the end of the year and get 50% off using the promo code EOYDQS
                                           
    2
             
  • user_56c19d

    user_56c19d

    5 months ago
    apply custom dq rule to more than one dataset
    If I create a custom simple rule on a dataset is there a way to apply that same rule to another dataset? For example I want to apply a completeness check on a column in one dataset that is based on a subset of data on an individual table and then I create another dataset against that same table for a different subset of data and the same column needs a completeness check, is there an easy way to copy it over without recreating the whole rule?
                                           
    3
             
  • hyoosaf

    hyoosaf

    7 months ago
    Behavior rules - Upper bound and lower bound calculatuion
    Hello Collibra friends, Can somebody share how the behavior check, row-count generates the lower bound and upper bound adaptively and predict a range after the learning phase.. 
                                           
    1
             
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