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Work with Dates, Arrays, and Nested Data in MongoDB

Learn to work with complex data in MongoDB. This course shows you how to query and reshape dates, arrays, and nested fields, then combine them to solve real-world analysis scenarios with clarity and confidence.

Pinal Dave - Pluralsight course - Work with Dates, Arrays, and Nested Data in MongoDB
by Pinal Dave

What you'll learn

Working with MongoDB often means dealing with more than just simple fields. Analysts face the challenge of querying dates, unraveling arrays, and navigating nested structures, all while trying to prepare data for real-world reporting. Without the right approach, valuable insights can stay hidden inside complex documents.

In this course, Work with Dates, Arrays, and Nested Data in MongoDB, you’ll gain the ability to retrieve and reshape data from flexible schemas with confidence.

First, you’ll explore how to filter and manipulate date fields, extract parts such as year or month, calculate differences, and group results by time periods.

Next, you’ll discover how to query and analyze arrays, filter on multiple values, measure their length, and transform them to unlock deeper insights.

Finally, you’ll learn how to access nested fields using clear paths, flatten or rename values for reporting, troubleshoot inconsistent structures, and combine these techniques to solve real-world analysis scenarios.

When you’re finished with this course, you’ll have the skills and knowledge of working with dates, arrays, and nested fields in MongoDB needed to produce clear, actionable insights for analysis and reporting.

Table of contents

About the author

Pinal Dave - Pluralsight course - Work with Dates, Arrays, and Nested Data in MongoDB
Pinal Dave

Pinal Dave is a Pluralsight Developer Evangelist.

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