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MongoDB Fundamentals

You're reading from   MongoDB Fundamentals A hands-on guide to using MongoDB and Atlas in the real world

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Product type Paperback
Published in Dec 2020
Publisher Packt
ISBN-13 9781839210648
Length 748 pages
Edition 1st Edition
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Authors (4):
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Juned Ahsan Juned Ahsan
Author Profile Icon Juned Ahsan
Juned Ahsan
Liviu Nedov Liviu Nedov
Author Profile Icon Liviu Nedov
Liviu Nedov
Amit Phaltankar Amit Phaltankar
Author Profile Icon Amit Phaltankar
Amit Phaltankar
Michael Harrison Michael Harrison
Author Profile Icon Michael Harrison
Michael Harrison
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Toc

Table of Contents (15) Chapters Close

Preface
1. Introduction to MongoDB 2. Documents and Data Types FREE CHAPTER 3. Servers and Clients 4. Querying Documents 5. Inserting, Updating, and Deleting Documents 6. Updating with Aggregation Pipelines and Arrays 7. Data Aggregation 8. Coding JavaScript in MongoDB 9. Performance 10. Replication 11. Backup and Restore in MongoDB 12. Data Visualization 13. MongoDB Case Study Appendix

Complex Charts

In previous sections, you saw how easy it is to use MongoDB Charts in Atlas. While the user interface is very intuitive and easy to use, it is also very powerful. There are many options available in MongoDB Charts so that data from the database can be preprocessed, grouped, and displayed in various ways. We'll take a look at more advanced configuration topics in this section.

Preprocessing and Filtering Data

As discussed previously, charts access the database through data sources that are defined in Charts. By default, all documents from a database collection are selected to build a new chart. Moreover, the data fields in Charts will inherit the original database JSON document data format.

Also note that a data source cannot alter or modify the database. In a real-life scenario, it happens quite often that the data format is not ideal for presenting via a chart. The data must be prepared, or the data format needs to be altered in some way before it is...

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