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UDY08-Data Curation and Remediation with Ataccama ONE
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1 students

UDY08-Data Curation and Remediation with Ataccama ONE

Deduplicate records, run remediation workflows, create golden records, and publish clean data back to your systems.
Created byAtaccama Academy
Last updated 9/2026
English
English

What you'll learn

  • Explain the curation lifecycle from raw, dirty data through to a validated, publishable golden record.
  • Load and configure a dataset in ONE Data Tables as the foundation for curation and remediation work.
  • Configure and run deduplication to identify matching and duplicate records across a dataset.
  • Use remediation workflows to review, correct, and approve individual records that fail quality checks.
  • Compare candidate records and merge them into a single authoritative golden record.
  • Validate golden records and publish clean data back to source systems or downstream consumers.

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Course content

3 sections • 7 lectures • 44m total length

  • The Curation Lifecycle: From Raw Data to Golden Record4:58

    Walk through the four-stage curation lifecycle in Ataccama ONE - load, deduplicate, remediate, and publish - and learn how this governed process turns messy source records into a trusted golden record.

  • ONE Data Tables: Load and Configure Your Dataset5:52

    Create a ONE Data table, map source columns to schema attributes, set a primary key and display name, and load your first records ready for deduplication.

Requirements

  • Complete UDY03 (Data Quality Monitoring and Alerting) or have experience with DQ rules in Ataccama ONE.
  • Complete UDY06 (Automate Data Quality with ONE Desktop) or have experience building ONE Desktop plans.
  • Familiarity with data quality concepts (duplicates, completeness, referential integrity) is helpful.

Description

This course contains the use of artificial intelligence.

Monitoring data quality identifies problems. Curation fixes them. If your organisation has datasets with duplicate, incomplete, or incorrect records that need to be resolved before data can be trusted, this course gives you the practical skills to do it in Ataccama ONE.


You will learn the full curation lifecycle from raw data through to a validated, published golden record. Starting with loading data into ONE Data Tables, you will configure deduplication to find and match duplicate records, use remediation workflows to review and correct individual records that fail quality checks, compare candidates and merge them into a single authoritative golden record, validate the results, and publish clean data back to your source systems or downstream consumers.


What you will build by the end of this course:

- A configured ONE Data Table with a loaded dataset ready for curation

- A deduplication configuration that identifies matching and duplicate records

- A remediation workflow for human-in-the-loop record correction

- A compare-and-merge step that produces a golden record for each entity group

- Validation checks on the golden record set

- A published output of clean, curated data for downstream use


Prerequisites: UDY03 and UDY06.


What to take next: UDY07 (Stop Bad Data at the Source) to prevent the problems that make curation necessary.

Who this course is for:

  • Data curation specialists, MDM practitioners, data stewards, and data engineers who fix data at the record level, not just flag it.
  • Teams with duplicate, incomplete, or incorrect records that must be resolved before data can be trusted and published.
  • Anyone whose organisation needs golden records - a single, authoritative, deduplicated version of each entity - built in Ataccama ONE.

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