Book Image

Seven NoSQL Databases in a Week

By : Sudarshan Kadambi, Xun (Brian) Wu
Book Image

Seven NoSQL Databases in a Week

By: Sudarshan Kadambi, Xun (Brian) Wu

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.

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Table of Contents (16 chapters)
Title Page
Title Page
Copyright and Credits
Copyright and Credits
Dedication
Dedication
Packt Upsell
Packt Upsell
Contributors
Contributors
Preface
Preface
Free Chapter
1
Introduction to NoSQL Databases
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
2
MongoDB
MongoDB
Installing of MongoDB
MongoDB data types
Data models in MongoDB
Introduction to MongoDB indexing
Replication
Sharding
Storing large data in MongoDB
Summary
3
Neo4j
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 
4
Redis
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
5
Cassandra
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
6
HBase
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
7
DynamoDB
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
8
InfluxDB
InfluxDB
Introduction to InfluxDB
Installation and configuration
Query language and API
InfluxDB ecosystem
InfluxDB operations
Summary
Other Books You May Enjoy
Other Books You May Enjoy
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Index
Index

MongoDB data types

Documents in MongoDB are JSON-like objects. JSON is a simple representation of data. It supports the following data types:

  • null: The null data type is used to represent the null value as well as a value that does not exist:
  • boolean: The boolean type is used to represent true and false values:
  • number: In MongoDB, the shell default supports 64-bit floating-point numbers. To process long and integer numbers, MongoDB provides NumberLong and NumberInt, which represent 4 bytes and 8 bytes, respectively.
  • string: The string data type represents the collection of characters. The MongoDB default supports UTF-* character encoding:
  • date: MongoDB stores dates in milliseconds since the epoch. The time zone information is not saved:
  • After inserting a date using the preceding way in the document, when we query using find it returns a document with a date in the following format:

  • array: A set or list of values represents arrays. Also, multiple JSON objects represent an array of elements. The...
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