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The Artificial Intelligence Infrastructure Workshop

You're reading from   The Artificial Intelligence Infrastructure Workshop Build your own highly scalable and robust data storage systems that can support a variety of cutting-edge AI applications

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Product type Paperback
Published in Aug 2020
Publisher Packt
ISBN-13 9781800209848
Length 732 pages
Edition 1st Edition
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Authors (6):
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Bas Geerdink Bas Geerdink
Author Profile Icon Bas Geerdink
Bas Geerdink
Chinmay Arankalle Chinmay Arankalle
Author Profile Icon Chinmay Arankalle
Chinmay Arankalle
Kunal Gera Kunal Gera
Author Profile Icon Kunal Gera
Kunal Gera
Kevin Liao Kevin Liao
Author Profile Icon Kevin Liao
Kevin Liao
Gareth Dwyer Gareth Dwyer
Author Profile Icon Gareth Dwyer
Gareth Dwyer
Anand N.S. Anand N.S.
Author Profile Icon Anand N.S.
Anand N.S.
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Toc

Table of Contents (14) Chapters Close

Preface
1. Data Storage Fundamentals 2. Artificial Intelligence Storage Requirements FREE CHAPTER 3. Data Preparation 4. The Ethics of AI Data Storage 5. Data Stores: SQL and NoSQL Databases 6. Big Data File Formats 7. Introduction to Analytics Engine (Spark) for Big Data 8. Data System Design Examples 9. Workflow Management for AI 10. Introduction to Data Storage on Cloud Services (AWS) 11. Building an Artificial Intelligence Algorithm 12. Productionizing Your AI Applications Appendix

NoSQL Databases

In the previous section, we looked at how SQL databases are used in the industry, along with some examples. However, with all the great things SQL databases can do, there is still significant room for improvement when it comes to dealing with complex and huge data with quick retrieval requirements. The times before and after NoSQL databases were created can be seen in the following diagram:

Figure 5.34: NoSQL database formats

These NoSQL databases evolved because of the fundamental limitations of SQL databases. The data in almost every sector has grown exponentially over time and the variety of usage has also expanded. Earlier, databases were limited to enterprise resource systems, research projects, telecommunications, and so on, but today, new domains have emerged with huge data in a variety of formats, such as social media and profiling millions of users, oil and gas, with billions of binary records, e-commerce, and life sciences. Because...

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