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.

About this course

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.

By clicking 'register' you will be able to view the content of the lab. If you want to go through the materials in a pre-configured Training Cloud Environment, you can purchase the Training Cloud Environment Subscription (Monthly or Yearly). This subscription will grant you access to over 50 similar lab environments with associated workbooks. For more information, click the links below:

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

Course Outline

  • Getting Started
  • Learning Objectives
  • Learn
  • Workbook - Managing Time Series Data Quality for Business Data Owners and PI Administrators
  • Access to Training Cloud Environment

About this course

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.

By clicking 'register' you will be able to view the content of the lab. If you want to go through the materials in a pre-configured Training Cloud Environment, you can purchase the Training Cloud Environment Subscription (Monthly or Yearly). This subscription will grant you access to over 50 similar lab environments with associated workbooks. For more information, click the links below:

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

Course Outline

  • Getting Started
  • Learning Objectives
  • Learn
  • Workbook - Managing Time Series Data Quality for Business Data Owners and PI Administrators
  • Access to Training Cloud Environment