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Workbook - Managing Time Series Data Quality for Business Data Owners and PI Administrators
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Managing Time Series Data Quality for Business Data Owners and PI Administrators
This lab outlines the basic categorization of data quality; various methods to measure and monitor your data quality; and the organization framework required to institutionalize data governance.
Real-time data must meet sufficient quality criteria to transform from data to business intelligence that delivers tangible value. This lab outlines the basic categorization of data quality; various methods to measure and monitor your data quality; and the organization framework required to institutionalize data governance. This lab should be of particular interest to data system administrators, IT management, and business owners depending on real-time data for daily operation.
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Objectives
In this lab, you will learn about:
- Data Quality (of course), including its value, its definition and how to achieve data quality
- Key concepts around Data Quality Monitoring
- Practical (hands-on) examples of
- Monitoring System Health
- Performing Simple Error Analysis
- Concepts around advanced methodologies of Data Quality Monitoring