NoSQL is a type of database that stores and retrieves data without needing to define its structure first – an alternative to the more rigid relational databases. NoSQL are non tabular, and store data differently than relational tables. It should be noted that NoSQL databases can store relationship data—they just store it differently than relational databases do. That should clear the misconception that NoSQL databases or non-relational databases don’t store relationship data well. Source: MongoDB Site
Types of NoSQL Database
- Document Databases: They usually pair each key with a complex data structure also known as a document. Examples of NoSQL in this category are MongoDB, Apache CouchDB, Raven DB and others.
- Key-value stores: In this group, every item in it is stored as a Key-value pair. Examples include Apache Ignite,Redis, Riak, Memcached.
- Wide-column stores: These store columns of data together. The reason for this that they are optimized for queries over huge datasets. Examples include Cassandra, Hbase, Scylla.
- Graph stores: They include Neo4j, AllegroGraph.
Advantages of NoSQL databases
The following are some of the advantages that you will enjoy while using NoSQL databases.
- They are wonderful at handling large volumes of data at high speed with a scale-out architecture
- NoSQL databases store unstructured, semi-structured, or structured data
- NoSQL databases enable easy updates to schemas and fields
- NoSQL databases are developer-friendly
After such an acquaintance, we bet you would wish to learn more about this new NoSQL paradigm. In order to go through it in a smooth and enjoyable manner, this article does a book hunting and gives you some of them that you may consider as your study companion. They include the following:
1. SQL & NoSQL Databases
Author Andreas Meier specializes in electronic business, electronic government, and information management. Michael Kaufmann is a Professor of Data Science and Big Data at the School of Information Technology, Lucerne University of Applied Sciences and Arts.
This book introduces readers to the field of relational (SQL) and non-relational (NoSQL) databases. The authors thoroughly review the current state of database tools and techniques, and examine coming innovations. The main topics covered are data management, data modeling, query and manipulation languages, consistency, privacy and security, system architectures and multi-user operation. It also provides an overview of post-relational and non-relational database systems.
In addition to classic concepts, important aspects of NoSQL databases are discussed, such as map/reduce, distribution options (fragments, replication), and the CAP theorem (Consistency, Availability, and Partition tolerance). The book will benefit students looking for an introduction to the area of SQL and NoSQL databases, as well as practitioners, helping them better understand the strengths and weaknesses of relational and non-relational approaches and developments in connection with big data applications.
Pick this book, get up to speed, learn and set yourself apart today. Have a look at it from Amazon below.
2. Data Modeling With NoSQL Database
Authors Ajit Singh, and Sultan Ahmad collaborate to bring their readers this text that tackles an area that can be challenging during the application development process. They bring the force of their combined minds to simplify data modelling so that the process of developing your applications is as clear, smooth and simple as you can afford.
Data modeling has an important role to play in NoSQL environments. The data modeling process involves the creation of a diagram that represents the meaning of the data and the relationship between the data elements. Thus, understanding is a fundamental aspect of data modeling and a pattern for this kind of representation has few contributions for NoSQL databases.
This book explains a NoSQL data modeling standard, introducing modeling techniques that can be used on document-oriented databases. The authors have considered Cassandra and Riak NoSQL databases because of the heterogeneous characteristics of each NoSQL database classification.
Join the authors of this text as you anticipate to understand and demystify Data Modelling using NoSQL Database. It is a classic read. Click on the link provided to order your copy from Amazon.
3. Database Internals
Alex, the author is a data infrastructure engineer, database and storage systems enthusiast, Apache Cassandra committer and PMC member, interested in storage, distributed systems and algorithms. In this exquisite text, the author targets readers with some experience with developing backend systems and working with database systems as a user.
As a subject matter expert, the author knows it so well that when it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it is often difficult to understand what each one offers and how they differ. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals.
Throughout the book, you’ll explore relevant material gleaned from numerous books, papers, blog posts, and the source code of several open source databases. These resources are listed at the end of parts one and two. You’ll discover that the most significant distinctions among many modern databases reside in subsystems that determine how storage is organized and how data is distributed.
This book examines:
- Storage engines: Explore storage classification and taxonomy, and dive into B-Tree-based and immutable Log Structured storage engines, with differences and use-cases for each
- Storage building blocks: Learn how database files are organized to build efficient storage, using auxiliary data structures such as Page Cache, Buffer Pool and Write-Ahead Log
- Distributed systems: Learn step-by-step how nodes and processes connect and build complex communication patterns
- Database clusters: Which consistency models are commonly used by modern databases and how distributed storage systems achieve consistency
This book will help people who build software that uses database systems: software developers, reliability engineers, architects, curious minds and engineering managers. If you fall in any of those categories, there is a lot of amazing material that you will glean from Alex. Steal your copy from Amazon by clicking on the link below.
4. MongoDB: The Definitive Guide
MongoDB is a free to use document NoSQL database with the scalability and flexibility that you want with the querying and indexing that you need. This text teaches you how to Manage your data with a system designed to support modern application development. Updated for MongoDB 4.2, the third edition of this authoritative and accessible guide shows you the advantages of using document-oriented databases. You will learn how this secure, high-performance system enables flexible data models, high availability, and horizontal scalability.
Authors Shannon Bradshaw, Eoin Brazil, and Kristina Chodorow provide guidance for database developers, advanced configuration for system administrators, and use cases for a variety of projects. NoSQL newcomers and experienced MongoDB users will find updates on querying, indexing, aggregation, transactions, replica sets, ops management, sharding and data administration, durability, monitoring, and security.
This book shows you how to:
- Work with MongoDB, perform write operations, find documents, and create complex queries
- Index collections, aggregate data, and use transactions for your application