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Validation Rules

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May 1, 2024 3 minute read
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Validation rules play a critical role in maintaining data integrity and preventing invalid data entry in Salesforce. They are a powerful tool to ensure that data meets certain criteria and business requirements. Understanding and effectively utilizing validation rules is essential for Salesforce users, admins, and developers who wish to maintain the accuracy and reliability of their data.

Why Learn Validation Rules?

There are numerous benefits to learning and implementing validation rules in Salesforce:

Path to Validation Rules

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We've curated two courses to help you on your path to Validation Rules. Use these to develop your skills, build background knowledge, and put what you learn to practice.
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Reading list

We've selected seven 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 Validation Rules.
Cover image
The Practitioner's Guide to Data Quality Improvement
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This broad overview of data validation includes creating data validation rules in order to ensure data quality and accuracy, with a focus on data governance and metadata management.
The Practitioner's Guide to Data Quality Improvement
Paperback
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The Practitioner's Guide to Data Quality Improvement
Kindle Edition
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Basiswissen modellbasierter Test
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Focuses on validation in the realm of computer simulations, providing insights on standard validation methods as well as methods based on machine learning.
(Deutsch) Basiswissen modellbasierter Test: Aus- und...
Hardcover
$$$
(Deutsch) Basiswissen modellbasierter Test: Aus- und...
Kindle Edition
$$
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Data Quality
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While not specific to validation rules, this book provides foundational understanding of data quality, which critical aspect of ensuring data is reliable and accurate.
Data Quality For The Information Age (Artech House...
Hardcover
$$$
Data Quality Management and Technology
Hardcover
$$
Data Quality: The Field Guide by Thomas Redman PhD...
Paperback Bunko
$$$$
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Regression Modeling Strategies
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Includes a chapter on validation of predictive models that uses both theoretical and practical aspects to provide guidance on interpreting and validating regression models.
Regression Modeling Strategies: With Applications...
Hardcover
$$$
Regression Modeling Strategies: With Applications...
Hardcover
$$$$
[(Regression Modeling Strategies: With Applications...
Paperback
$$$$
Regression Modeling Strategies: With Applications...
Kindle Edition
$$$
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Data Manipulation with R
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Includes information on validating data in R, ensuring that it is accurate and reliable for analysis.
Data Manipulation with R (Use R!)
Paperback
$$$
Data Manipulation with R (Use R!)
Kindle Edition
$$$
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Applied Logistic Regression
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Includes extensive coverage of validation for logistic regression models, which are useful for predicting binary outcomes.
Applied Logistic Regression
Hardcover
$$$
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Implementing Reproducible Research
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As a key part of validation is reproducibility, this book provides guidance on writing code for data analysis and research in R that can be independently validated and reproduced by others.
Implementing Reproducible Research (Chapman &...
Hardcover
$$$
Implementing Reproducible Research (Chapman &...
Kindle Edition
$$$
Relevant careers
Salesforce Administrator
Business Analyst
Salesforce Developer
Data Analyst
Consultant
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