▶Book Description
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, InfluxDB, 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
▶What You Will Learn
- Understand how MongoDB provides high-performance, high-availability, and automatic scaling
- Interact with your Neo4j instances via database queries, Python scripts, and Java application code
- Get familiar with common querying and programming methods to interact with Redis
- Study the different types of problems Cassandra can solve
- Work with HBase components to support common operations such as creating tables and reading/writing data
- Discover data models and work with CRUD operations using DynamoDB
- Discover what makes InfluxDB a great choice for working with time-series data
▶Key Features
- Covers the basics of 7 NoSQL databases and how they are used in the enterprises
- Quick introduction to MongoDB, DynamoDB, Redis, Cassandra, Neo4j, InfluxDB, and Hbase
- Includes effective techniques for database querying and management
▶Who This Book Is For
If you are a budding DBA or a developer who wants to get started with the fundamentals of NoSQL databases, this book is for you. Relational DBAs who want to get insights into the various offerings of popular NoSQL databases will also find this book to be very useful.
▶What this book covers
- Chapter 1, Introduction to NoSQL Databases, introduces the topic of NoSQL and distributed databases. The design principles and trade-offs involved in NoSQL database design are described. These design principles provide context around why individual databases covered in the following chapters are designed in a particular way and what constraints they are trying to optimize for.
- Chapter 2, MongoDB, covers installation and basic CRUD operations. High-level concepts such as indexing allow you to speed up database operations, sharding, and replication. Also, it covers data models, which help us with application database design.
- Chapter 3, Neo4j, introduces the Neo4j graph database. It discusses Neo4j's architecture, use cases, administration, and application development.
- Chapter 4, Redis, discusses the Redis data store. Redis’ unique architecture and behavior will be discussed, as well as installation, application development, and server-side scripting with Lua.
- Chapter 5, Cassandra, introduces the Cassandra database. Cassandra’s highly-available, eventually consistent design will be discussed along with the appropriate use cases. Known anti-patterns will also be presented, as well as production-level configuration, administration, and application development.
- Chapter 6, HBase, introduces HBase, that is, the Hadoop Database. Inspired by Google's Bigtable, HBase is a widely deployed key-value store today. This chapter covers HBase's architectural internals, data model, and API.
- Chapter 7, DynamoDB, covers how to set up a local and AWS DynamoDB service and perform CRUD operations. It also covers how to deal with partition keys, sort keys, and secondary indexes. It covers various advantages and disadvantages of DynamoDB over other databases, which makes it easy for developers to choose a database for an application.
- Chapter 8, InfluxDB, describes InfluxDB and its key concepts and terms. It also covers InfluxDB installation and configuration. It explores the query language and APIs. It helps you set up Telegraf and Kapacitor as an InfluxDB ecosystem's key components to collect and process data. At the end of the chapter, you will also find information about InfluxDB operations.
