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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

Historical Data

The historical data layer contains data stores that hold all data from a certain point in the past (for example, the start of the company) up until now. In most cases, this data is considered to be important to run a business, and in some cases, even vital for its existence. For example, the historical data layer of a newspaper agency contains sources, reference material, interviews, media footage, and so on, all of which were used to publish news articles. Data is stored in blobs, file shares, and relational tables, often with primary and foreign keys (enforced by the infrastructure or in software). The data can be modeled to a standard such as a data vault to preserve historical information. This data layer is responsible for keeping the truth, which means it is highly regulated and governed. Any data that is inserted into one of the tables in this layer has gone through several checks, and metadata is stored next to the actual data to keep track of the history and...

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The Artificial Intelligence Infrastructure Workshop
Published in: Aug 2020
Publisher: Packt
ISBN-13: 9781800209848
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