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Seven NoSQL Databases in a Week

By : Sudarshan Kadambi, Xun (Brian) Wu

3.5 (6)

Buy this Book

Seven NoSQL Databases in a Week

3.5 (6)

By: Sudarshan Kadambi, Xun (Brian) Wu

Buy this Book

Overview of this book

This is the golden age of open source NoSQL databases. With enterprises having to work with large amounts of unstructured data and moving away from expensive monolithic architecture, the adoption of NoSQL databases is rapidly increasing. Being familiar with the popular NoSQL databases and knowing how to use them is a must for budding DBAs and developers. This book introduces you to the different types of NoSQL databases and gets you started with seven of the most popular NoSQL databases used by enterprises today. We start off with a brief overview of what NoSQL databases are, followed by an explanation of why and when to use them. The book then covers the seven most popular databases in each of these categories: MongoDB, Amazon DynamoDB, Redis, HBase, Cassandra, In?uxDB, and Neo4j. The book doesn't go into too much detail about each database but teaches you enough to get started with them. By the end of this book, you will have a thorough understanding of the different NoSQL databases and their functionalities, empowering you to select and use the right database according to your needs.

Preface

Who this book is for

What this book covers

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Introduction to NoSQL Databases

Consistency versus availability

ACID guarantees

Hash versus range partition

In-place updates versus appends

Row versus column versus column-family storage models

Strongly versus loosely enforced schemas

Summary

MongoDB

Installing of MongoDB

MongoDB data types

Data models in MongoDB

Introduction to MongoDB indexing

Replication

Sharding

Storing large data in MongoDB

Summary

Neo4j

What is Neo4j?

How does Neo4j work?

Features of Neo4j

Evaluating your use case

Neo4j anti-patterns

Neo4j hardware selection, installation, and configuration

Using Neo4j

Tips for success

Summary

References

Redis

Introduction to Redis

What are the key features of Redis?

Appropriate use cases for Redis

Data modeling and application design with Redis

Redis anti-patterns

Redis setup, installation, and configuration

Using Redis

Tips for success

Summary

References

Cassandra

Introduction to Cassandra

What problems does Cassandra solve?

What are the key features of Cassandra?

Appropriate use cases for Cassandra

Cassandra anti-patterns

Cassandra hardware selection, installation, and configuration

Node configuration

Running Cassandra

Using Cassandra

Tips for success

Summary

References

HBase

Architecture

Reads and writes

System trade-offs

Logical and physical data models

Interacting with HBase – the HBase shell

Interacting with HBase – the HBase Client API

Advanced topics

Summary

DynamoDB

The difference between SQL and DynamoDB

Setting up DynamoDB

DynamoDB data types and terminology

Data models and CRUD operations in DynamoDB

Limitations of DynamoDB

Best practices

Summary

InfluxDB

Introduction to InfluxDB

Installation and configuration

Query language and API

InfluxDB ecosystem

InfluxDB operations

Summary

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Cassandra

Apache Cassandra is one of the most widely used NoSQL databases. It is used by many enterprise organizations to store and serve data on a large scale. Cassandra is also designed to continue to function through partial node failure, remaining highly available to serve consistently high amounts of traffic.

In this chapter, we will discuss Cassandra at length, going into detail on several topics, including:

Key features
Appropriate use cases
Anti-patterns
How to leverage Cassandra with different tools and languages, such as:
- Nodetool
- CQLSH
- Python
- Java

By the end of this chapter, you will understand how to build and architect a Cassandra cluster from the ground up. You will find tips and best practices on hardware selection, installation, and configuration. You will also learn how to perform common operational tasks on a Cassandra cluster, such as adding or removing...