Data Quality Fundamentals

Index

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• Abramson, Noah, Data Is a Key Part of the Customer Value Proposition
• accessibility, balancing with trust, Balancing Data Accessibility with Trust-Balancing Data Accessibility with Trust
• accountability, Creating Accountability for Data Quality
• accuracy, anomaly detection and, Does Model Accuracy Matter?-Does Model Accuracy Matter?
• Airbnb, Architecting for Data Reliability
• Alberini, Francisco, Data Incident Management
• alerting and testing, Alerting and Testing-Deequ Unit Testing
  • (see also data testing)
  • dbt unit testing, dbt Unit Testing-dbt Unit Testing
  • Deequ unit testing, Deequ Unit Testing-Deequ Unit Testing
  • Great Expectations unit testing, Great Expectations Unit Testing-Great Expectations Unit Testing
  • machine learning and, Improving Data Monitoring Alerting with Machine Learning
• Amazon Redshift, Data Warehouses: Table Types at the Schema Level
• ambiguity, syntactic versus semantic, Syntactic Versus Semantic Ambiguity in Data
• Amundsen (data discovery and metadata engine), Open source
• analytical data
  • batch versus stream processing, Batch Versus Stream Processing
  • defined, Understanding the Difference Between Operational and Analytical Data
  • operational data versus, Understanding the Difference Between Operational and Analytical Data-What Makes Them Different?
• analytical data transformations
  • ensuring data quality during ETL, Ensuring Data Quality During ETL
  • ensuring data quality during transformation, Ensuring Data Quality During Transformation
  • running, Running Analytical Data Transformations
• analytics ...