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Mastering MongoDB 4.x: Expert techniques to run high-volume and fault-tolerant database solutions using MongoDB 4.x , Second Edition

Alex Giamas

€23.99

4.1 (7 Ratings)

eBook Mar 2019 394 pages 2nd Edition

Alex Giamas

€23.99

4.1 (7 Ratings)

eBook Mar 2019 394 pages 2nd Edition

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Key benefits

Master the new features and capabilities of MongoDB 4.x
Implement advanced data modeling, querying, and administration techniques in MongoDB
Includes rich case-studies and best practices followed by expert MongoDB developers

Description

MongoDB is the best platform for working with non-relational data and is considered to be the smartest tool for organizing data in line with business needs. The recently released MongoDB 4.x supports ACID transactions and makes the technology an asset for enterprises across the IT and fintech sectors. This book provides expertise in advanced and niche areas of managing databases (such as modeling and querying databases) along with various administration techniques in MongoDB, thereby helping you become a successful MongoDB expert. The book helps you understand how the newly added capabilities function with the help of some interesting examples and large datasets. You will dive deeper into niche areas such as high-performance configurations, optimizing SQL statements, configuring large-scale sharded clusters, and many more. You will also master best practices in overcoming database failover, and master recovery and backup procedures for database security. By the end of the book, you will have gained a practical understanding of administering database applications both on premises and on the cloud; you will also be able to scale database applications across all servers.

Who is this book for?

This book is ideal for MongoDB developers and database administrators who wish to become successful MongoDB experts and build scalable and fault-tolerant applications using MongoDB. It will also be useful for database professionals who wish to become certified MongoDB professionals. Some understanding of MongoDB and basic database concepts is required to get the most out of this book.

What you will learn

Perform advanced querying techniques such as indexing and expressions
Configure, monitor, and maintain a highly scalable MongoDB environment
Master replication and data sharding to optimize read/write performance
Administer MongoDB-based applications on premises or on the cloud
Integrate MongoDB with big data sources to process huge amounts of data
Deploy MongoDB on Kubernetes containers
Use MongoDB in IoT, mobile, and serverless environments

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Product Details

Publication date : Mar 30, 2019

Length: 394 pages

Edition : 2nd

Language : English

ISBN-13 : 9781789611380

Vendor :

MongoDB

Category :

Data

Languages :

JavaScript

Concepts :

Databases

Tools :

MongoDB

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19 Chapters

Section 1: Basic MongoDB – Design Goals and Architecture

MongoDB – A Database for Modern Web

Technical requirements

The evolution of SQL and NoSQL

MongoDB's key characteristics and use cases

MongoDB configuration and best practices

Reference documentation

Further reading

Summary

Schema Design and Data Modeling

Relational schema design

Data modeling

Modeling data for atomic operations

Modeling relationships

Modeling data for keyword searches

Connecting to MongoDB

Summary

Section 2: Querying Effectively

MongoDB CRUD Operations

CRUD using the shell

Summary

Advanced Querying

MongoDB CRUD operations

Change streams

Summary

Multi-Document ACID Transactions

Background

ACID

E-commerce using MongoDB

Summary

Aggregation

Why aggregation?

Aggregation operators

Indexing

Section 3: Administration and Data Management

Monitoring, Backup, and Security

Storage Engines

Pluggable storage engines

MongoDB Tooling

An introduction to Kubernetes

Summary

Harnessing Big Data with MongoDB

Section 4: Scaling and High Availability

Replication

An architectural overview

How do elections work?

What is the use case for a replica set?

Setting up a replica set

Connecting to a replica set

Replica set administration

Cloud options for a replica set

Replica set limitations

Summary

Sharding

Why do we use sharding?

Architectural overview

Sharding setup

Sharding administration and monitoring

Querying sharded data

Sharding recovery

Further reading

Summary

Fault Tolerance and High Availability

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About the author

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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Mastering MongoDB 4.x: Expert techniques to run high-volume and fault-tolerant database solutions using MongoDB 4.x , Second Edition

What do you get with eBook?