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

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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

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21. Other Books You May Enjoy

MongoDB Atlas Data Lake

A data lake is a centralized repository that can be used to store, query, and transform heterogeneous structured and unstructured data. As the name implies, it acts as a lake of data.

MongoDB Data Lake (https://www.mongodb.com/atlas/data-lake) is a service offered by MongoDB that can help us process datasets across multiple MongoDB Atlas clusters and Amazon Web Services (AWS) Simple Storage Service (S3) buckets.

A data lake can query data in multiple formats such as JSON, BSON, comma-separated values (CSV), tab-separated values (TSV), Avro, Optimized Row Columnar (ORC), and Parquet. We can query the datasets using any driver, graphical user interface (GUI) tools such as MongoDB Compass, or the MongoDB shell using the standard MongoDB Query Language (MQL).

We can use x509 or SCRAM-SHA authentication methods. MongoDB Data Lake does not support Lightweight Directory Access Protocol (LDAP).

A data lake can be used for a variety of big data use cases...

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

Table of Contents (22) Chapters

MongoDB Atlas Data Lake

Authors (1)

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

Table of Contents (22) Chapters

MongoDB Atlas Data Lake

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