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Mastering Julia

You're reading from   Mastering Julia Enhance your analytical and programming skills for data modeling and processing with Julia

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Product type Paperback
Published in Jan 2024
Publisher Packt
ISBN-13 9781805129790
Length 506 pages
Edition 2nd Edition
Languages
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Author (1):
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Malcolm Sherrington Malcolm Sherrington
Author Profile Icon Malcolm Sherrington
Malcolm Sherrington
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Table of Contents (14) Chapters Close

Preface 1. Chapter 1: The Julia Environment 2. Chapter 2: Developing in Julia FREE CHAPTER 3. Chapter 3: The Julia Type System 4. Chapter 4: The Three Ms 5. Chapter 5: Interoperability 6. Chapter 6: Working with Data 7. Chapter 7: Scientific Programming 8. Chapter 8: Visualization 9. Chapter 9: Database Access 10. Chapter 10: Networks and Multitasking 11. Chapter 11: Julia’s Back Pages 12. Index 13. Other Books You May Enjoy

Summary

This chapter has looked at how Julia interacts with data held in databases and data files. Until recently, the majority of databases conformed to the relational model, the so-called SQL database. However, the rapid explosion in data volumes accompanying the big data revolution has led to the introduction of a range of databases based on other data models. These are normally grouped under an “umbrella” heading of NoSQL and are categorized as KV, document, and graphic databases.

We identified some examples in each category and identified Julia’s approaches specific to each case, and the appropriate packages and methods for loading, maintaining, and querying the different types of databases.

In the next chapter, we will discuss working with various networked systems and look at developing internet servers, as well as working with web sockets and distributed systems.

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