Book Image

Learning R Programming

By : Kun Ren
Book Image

Learning R Programming

By: Kun Ren

Overview of this book

R is a high-level functional language and one of the must-know tools for data science and statistics. Powerful but complex, R can be challenging for beginners and those unfamiliar with its unique behaviors. Learning R Programming is the solution - an easy and practical way to learn R and develop a broad and consistent understanding of the language. Through hands-on examples you'll discover powerful R tools, and R best practices that will give you a deeper understanding of working with data. You'll get to grips with R's data structures and data processing techniques, as well as the most popular R packages to boost your productivity from the offset. Start with the basics of R, then dive deep into the programming techniques and paradigms to make your R code excel. Advance quickly to a deeper understanding of R's behavior as you learn common tasks including data analysis, databases, web scraping, high performance computing, and writing documents. By the end of the book, you'll be a confident R programmer adept at solving problems with the right techniques.
Table of Contents (21 chapters)
Learning R Programming
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface

Working with NoSQL databases


In the previous section of this chapter, you learned the basics of relational databases and how to use SQL to query data. Relational data is mostly organized in a tabular form, that is, as a collection of tables with relations.

However, when the volume of data exceeds the capacity of a server, problems occur because the traditional model of relational databases does not easily support horizontal scalability, that is, storing data in a cluster of servers instead of a single one. This adds a new layer of complexibility of database management as the data is stored in a distributed form while still accessible as one logical database. 

In recent years, NoSQL, or non-relational databases, have become much more popular than before due to the introduction of new database models and the remarkable performance they exhibit in big data analytics and real-time applications. Some non-relational databases are designed for high availability, scalability, and flexibility, and...