May 1, 2024
Updated May 30, 2025
17 minute read
Navigating the World of Data Validation
Data validation is the process of ensuring that data is accurate, complete, and meets predefined quality standards before it is used or stored. Think of it as a meticulous quality control check for information. It involves a series of checks and tests to verify that data conforms to specific rules, formats, and constraints. This crucial step ensures that the data you are working with is trustworthy and suitable for analysis, reporting, or any other intended purpose.
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Find a path to becoming a Data Validation. Learn more at:
OpenCourser.com/topic/cozelt/data
Reading list
We've selected nine books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Data Validation.
This collection of essays discusses many of the techniques used for data validation, including coverage of specific case studies associated with data validation. The chapters are written by different authors with experience in various applications of data validation techniques and in a variety of industries.
This practical guide to data validation focuses on business intelligence applications for data validation. It provides guidance on implementing data validation for business intelligence projects and includes discussions of why data validation is an essential part of a business intelligence project.
Written for database administrators, this book provides a detailed guide to data validation using SQL and PL/SQL. It covers a wide range of data validation techniques and provides practical examples of how to implement these techniques using SQL and PL/SQL.
Provides guidance on data validation for e-commerce applications in particular. It includes discussions of how to validate data in different contexts, such as customer information, product information, and order information.
Focuses on data validation in the context of education. It covers a wide range of topics, including data validation techniques, data validation standards, and data validation regulations.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/cozelt/data