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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

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Product type Paperback
Published in Aug 2022
Publisher Packt
ISBN-13 9781803243863
Length 460 pages
Edition 3rd Edition
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Author (1):
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Alex Giamas Alex Giamas
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Alex Giamas
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Table of Contents (22) Chapters Close

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 21. Other Books You May Enjoy

Queryable encryption

MongoDB 6 introduced end-to-end queryable encryption. Seny Kamara and Tarik Moataz, from Brown University, designed An Optimal Relational Database Encryption Scheme at Aroki Systems that was acquired by MongoDB in 2021.

Queryable encryption allows database queries, while transmitted, to be processed and stored data to ensure they are always encrypted. The developer uses the MongoDB driver the same way as always, but the driver handles encrypting the query and the database queries the data without ever decrypting the query or the data.

Queryable encryption allows developers to query encrypted data fields as easily as they would do with the non-encrypted fields without having to learn cryptography. It provides the fundamental controls to meet data privacy regulatory requirements such as GDPR, HIPAA, CCPA, and other related legislation. It can reduce operational risk for migrating on-premise datasets to the cloud by providing the peace of mind that data will...

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