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  • Book Overview & Buying Mastering Julia
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Mastering Julia

Mastering Julia

By : Malcolm Sherrington
4.4 (7)
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Mastering Julia

Mastering Julia

4.4 (7)
By: Malcolm Sherrington

Overview of this book

Julia is a well-constructed programming language with fast execution speed, eliminating the classic problem of performing analysis in one language and translating it for performance into a second. This book will help you develop and enhance your programming skills in Julia to solve real-world automation challenges. This book starts off with a refresher on installing and running Julia on different platforms. Next, you will compare the different ways of working with Julia and explore Julia's key features in-depth by looking at design and build. You will see how data works using simple statistics and analytics, and discover Julia's speed, its real strength, which makes it particularly useful in highly intensive computing tasks and observe how Julia can cooperate with external processes in order to enhance graphics and data visualization. Finally, you will look into meta-programming and learn how it adds great power to the language and establish networking and distributed computing with Julia.
Table of Contents (12 chapters)
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11
Index

Relational databases


As we have said, the primary difference between relational and non-relational databases is the way data is stored. Relational data is tabular by nature, and hence stored in tables with rows and columns. Tables can be related to one another and cooperate in data storage as well as swift retrieval.

Data storage in relational databases aims for higher normalization –– breaking up the data into smallest logical tables (related) to prevent duplication and gain tighter space utilization.

While normalization of data leads to cleaner data management, it often adds a little complexity, especially to data management where a single operation may have to span numerous related tables.

Since relational databases are on a single server and partition tolerance is not an option, in terms of the CAP classification they are consistent and accessible.

Building and loading

Before looking at some of the approaches to handling relational data in Julia, I'm going to create a simple script that generates...

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Mastering Julia
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