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Mastering MongoDB 6.x

You're reading from Mastering MongoDB 6.x Expert techniques to run high-volume and fault-tolerant database solutions using MongoDB 6.x

Product type Paperback

Published in Aug 2022

Publisher Packt

ISBN-13 9781803243863

Length 460 pages

Edition 3rd Edition

Languages

JavaScript

Tools

MongoDB

Concepts

Databases

Author (1):

Alex Giamas

View More author details

Table of Contents (22) Chapters

Preface

1. Part 1 – Basic MongoDB – Design Goals and Architecture

2. Chapter 1: MongoDB – A Database for the Modern Web FREE CHAPTER

3. Chapter 2: Schema Design and Data Modeling

4. Part 2 – Querying Effectively

5. Chapter 3: MongoDB CRUD Operations

6. Chapter 4: Auditing

7. Chapter 5: Advanced Querying

8. Chapter 6: Multi-Document ACID Transactions

9. Chapter 7: Aggregation

10. Chapter 8: Indexing

11. Part 3 – Administration and Data Management

12. Chapter 9: Monitoring, Backup, and Security

13. Chapter 10: Managing Storage Engines

14. Chapter 11: MongoDB Tooling

15. Chapter 12: Harnessing Big Data with MongoDB

16. Part 4 – Scaling and High Availability

17. Chapter 13: Mastering Replication

18. Chapter 14: Mastering Sharding

19. Chapter 15: Fault Tolerance and High Availability

20. Index

Why subscribe?

21. Other Books You May Enjoy

Harnessing Big Data with MongoDB

MongoDB is often used in conjunction with big data pipelines because of its performance, flexibility, and lack of rigorous data schemas. This chapter will explore the big data landscape, and how MongoDB fits alongside message queuing, data warehousing, and extract, transform, and load (ETL) pipelines.

We will also learn what the MongoDB Atlas Data Lake platform is and how to use this cloud data warehousing offering from MongoDB.

These are the topics that we will discuss in this chapter:

What is big data?
Big data use case with servers on-premises
MongoDB Atlas Data Lake

The rest of the chapter is locked

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Authors (1)

Alex Giamas

Alex Giamas

Alex Giamas is a freelance consultant and a hands-on Lead Technical and Data Architect. Over the past 15 years, he has expertise in designing and developing systems for the UK Government (HMRC, Cabinet Office, DIT) and private sector (Amazon ProServe, PwC, Fintech Fortune 500, Yahoo!, Verizon) clients. Alex is an alumnus of the MassChallenge London cohort as the co-founder and CTO of a digital health startup. Alex has authored Mastering MongoDB 3.x and 4.x, both by Packt Publishing. Alex has developed large-scale robust, distributed software systems in Python, JavaScript, Ruby, and Java. He is a MongoDB Certified Developer, a Cloudera Hadoop Certified Developer with Data Science Essentials, and a Carnegie Mellon and Stanford graduate.

See other products by Alex Giamas

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