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Learning Julia

You're reading from   Learning Julia Build high-performance applications for scientific computing

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Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781785883279
Length 316 pages
Edition 1st Edition
Languages
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Authors (2):
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Rahul Lakhanpal Rahul Lakhanpal
Author Profile Icon Rahul Lakhanpal
Rahul Lakhanpal
Anshul Joshi Anshul Joshi
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Anshul Joshi
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Table of Contents (11) Chapters Close

Preface 1. Understanding Julia's Ecosystem FREE CHAPTER 2. Programming Concepts with Julia 3. Functions in Julia 4. Understanding Types and Dispatch 5. Working with Control Flow 6. Interoperability and Metaprogramming 7. Numerical and Scientific Computation with Julia 8. Data Visualization and Graphics 9. Connecting with Databases 10. Julia’s Internals

NoSQL databases

We all know that in a traditional setting a database implements a relational model of data organized in row and columns. We call it popularly as RDBMS as studied earlier in this chapter. However, NoSQL databases are very different from this traditional setting.

A NoSQL database is a kind of database that doesn't store data in a row-column format or in other words tabular format. The most common approach used is to store data in the form of JSON document. JSON, which is a very popular format for data exchange can actually be used to organize data in key-value pairs. There is actually a wide classification under which NoSQL databases can be broadly classified. They are as follows:

  • Key-value stores
  • Document databases
  • Wide-column stores
  • Graph stores

Now, the question arises, why NoSQL? This is a very important question to be asked to big enterprises with the...

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