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Seven NoSQL Databases in a Week

Seven NoSQL Databases in a Week

By : Sudarshan Kadambi, Xun (Brian) Wu
3.5 (6)
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Seven NoSQL Databases in a Week

Seven NoSQL Databases in a Week

3.5 (6)
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.
Table of Contents (10 chapters)
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InfluxDB ecosystem


InfluxDB is a NoSQL database. In many real-world projects, it typically needs to develop data collect applications to collect and send data to the process engine, and then the process engine will process the collected matrix to save in the database. Fortunately, InfluxDB provides this kind of ecosystem to make development much easier. In typical InfluxDB ecosystem components, Telegraf is the agent to collect and send data. Kapacitor is a real-time streaming data process engine. Chronograf is a dashboard tool and is used for visualizing time-series data. In this section, we will discuss Telegraf and Kapacitor:

Telegraf

Telegraf is a plugin-driven agent for collecting, processing, aggregating, reporting, and writing matrix. It has more than 100 plugins. It is written in Go and compiled as a standalone library; it doesn't have external dependency. The plugin development is easy. You can write your own plugins. This plugin-driven architecture can easily fit into your application...

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