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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

Product type Paperback

Published in Dec 2020

Publisher Packt

ISBN-13 9781839210648

Length 748 pages

Edition 1st Edition

Tools

MongoDB

Concepts

Databases

Authors (4):

Juned Ahsan

Liviu Nedov

Amit Phaltankar

Michael Harrison

View More author details

Table of Contents (15) Chapters

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

Introduction

The visual representation of data is extremely useful for reporting as well as for business presentations. The advantages of using charts for data visualization in science, statistics, and mathematics cannot be overstated. Graphs and charts can effectively communicate essential information for business decisions to be made, in much the same way that movies can tell stories by using images in motion.

MongoDB has developed a new, integrated tool for data visualization, called MongoDB Charts. This is a relatively new feature, with its first release in the second quarter of 2018. MongoDB Charts allows users to perform quick data representation from a MongoDB database without writing code in a programming language such as Java or Python. Currently, there are two different implementations of MongoDB Charts:

MongoDB Charts PaaS (Platform as a Service): This refers to the cloud service for Charts. This version of Charts is fully integrated with Atlas cloud projects...

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Authors (4)

Amit Phaltankar

Amit Phaltankar

Amit Phaltankar is a software developer and a blogger experienced in building lightweight and efficient software components. He specializes in wiring web-based applications and handling large-scale data sets using traditional SQL, NoSQL, and big data technologies. He is experienced in many technology stacks and loves learning and adapting to newer technology trends. Amit is passionate about improving his skill set and loves guiding and grooming his peers and contributing to blogs. He is also an author of MongoDB Fundamentals.

See other products by Amit Phaltankar

Liviu Nedov

Liviu Nedov

Liviu Nedov is a senior consultant with more than 20 years of experience in database technologies. He has provided professional and consulting services to customers in Australia and Europe. Throughout his career, he has designed and implemented large enterprise projects for customers like Wotif Group, Xstrata Copper/Glencore, and the University of Newcastle and Energy, Queensland. He is currently working at Data Intensity, which is the largest multi-cloud service provider for applications, databases, and business intelligence. In recent years, he is actively involved in MongoDB NoSQL database projects, database migrations, and cloud DBaaS (Database as a Service) projects.

See other products by Liviu Nedov

Michael Harrison

Michael Harrison

Michael Harrison started his career at the Australian telecommunications leader Telstra. He worked across their networks, big data, and automation teams. He is now a lead software developer and the founding member of Southbank Software, a Melbourne based startup that builds tools for the next generation of database technologies.

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Juned Ahsan

Juned Ahsan

Juned Ahsan is a software professional with more than 14 years of experience. He has built software products and services for companies and clients such as Cisco, Nuamedia, IBM, Nokia, Telstra, Optus, Pizzahut, AT&T, Hughes, Altran, and others. Juned has a vast experience in building software products and architecting platforms of different sizes from scratch. He loves to help and mentor others and is a top 1% contributor on StackOverflow. He is passionate about cognitive CX, cloud computing, artificial intelligence, and NoSQL databases.

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