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centralized platform approach
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Classroom Contents
Assuring Data Quality at Scale
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- 1 Introduction
- 2 About Gayathri
- 3 Pipelines
- 4 What is Data Quality
- 5 What is DataDriven Organization
- 6 Good Quality Data
- 7 Data Quality Issues
- 8 Real World Examples
- 9 Incomplete Data
- 10 Incorrect Data
- 11 Bad Customer Experience
- 12 Data Loss
- 13 Data Quality
- 14 completeness
- 15 accuracy
- 16 timeliness
- 17 subjectivity
- 18 data mesh
- 19 data matching
- 20 changing data landscape
- 21 four key principles
- 22 ownership of data quality
- 23 data quality is a huge space
- 24 data quality capabilities
- 25 what makes an effective data quality monitoring
- 26 offerings
- 27 homegrown options
- 28 centralized platform approach
- 29 platform approach
- 30 connectors
- 31 data infrastructure
- 32 profiling
- 33 checks
- 34 alerts
- 35 transparency
- 36 challenges
- 37 conclusion
- 38 References
- 39 Questions
