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Data Quality Management with Apache Hop

Overview

Skills Needed

Learn to manage data quality effectively with Apache Hop. Explore data validation rules, profiling techniques, and quality assessment with Hop.

  • Basic knowledge of data quality concepts
  • Familiarity with data profiling tools

Outline

  • Introduction to Data Quality Management
  • Defining Data Quality Metrics
  • Data Profiling and Analysis
  • Data Validation Rules in Hop
  • Quality Assessment Techniques
  • Error Detection and Correction
  • Profiling Data Sources
  • Automating Quality Checks
  • Integrating Data Quality into Workflows
  • Best Practices for Data Quality Management with Hop

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