Seven NoSQL Databases in a Week - Tapa blanda

Reseña del editor

A beginner's guide to get you up and running with Cassandra, DynamoDB, HBase, InfluxDB, MongoDB, Neo4j, and Redis

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

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

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.

Table of Contents

1. Introduction to NoSQL Databases
2. MongoDB
3. Neo4j
4. Redis
5. Cassandra
6. HBase
7. Dynamo DB
8. InfluxDB

Biografía del autor

Aaron Ploetz Aaron is the NoSQL Engineering Lead for Target, where his DevOps team supports Cassandra, MongoDB, and Neo4j. He has been named a DataStax MVP for Apache Cassandra three times, and has presented at multiple events, including the DataStax Summit and Data Day Texas. Aaron earned a B.S. in Management/Computer Systems from the University of Wisconsin-Whitewater, and a M.S. in Software Engineering from Regis University. He and his wife Coriene live with their three children in the Twin Cities area. Devram Kandhare Devram has 4 years of experience of working with SQL database MySql and NoSql databases MongoDB and Dynamo db. Worked as database designer and developer. Developed various projects using agile development model. Experienced in building web based application and REST API. Sudarshan Kadambi Sudarshan has a background in Distributed systems and Database design. He has been a user and contributor to various NoSQL databases and is passionate about solving large-scale data management challenges. Xun (Brian) Wu Xun (Brian) Wu has more than 15 years' experience in web/mobile development, big data analytics, cloud computing, Blockchain, and IT architecture. Xun holds a Master degree in computer science from NJIT. He is always enthusiastic about exploring new ideas, technologies, and opportunities that arise. He always keeps himself up-to-date by coding, reading books, training, and researching. He has reviewed more than 40 Packt Publishing books.