Data Analytics in the AWS Cloud (PDF)
Building a Data Platform for BI and Predictive Analytics on AWS
(Sprache: Englisch)
A comprehensive and accessible roadmap to performing data analytics in the AWS cloud
In Data Analytics in the AWS Cloud: Building a Data Platform for BI and Predictive Analytics on AWS, accomplished software engineer and data architect Joe Minichino...
In Data Analytics in the AWS Cloud: Building a Data Platform for BI and Predictive Analytics on AWS, accomplished software engineer and data architect Joe Minichino...
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A comprehensive and accessible roadmap to performing data analytics in the AWS cloud
In Data Analytics in the AWS Cloud: Building a Data Platform for BI and Predictive Analytics on AWS, accomplished software engineer and data architect Joe Minichino delivers an expert blueprint to storing, processing, analyzing data on the Amazon Web Services cloud platform. In the book, you'll explore every relevant aspect of data analytics--from data engineering to analysis, business intelligence, DevOps, and MLOps--as you discover how to integrate machine learning predictions with analytics engines and visualization tools.
You'll also find:
* Real-world use cases of AWS architectures that demystify the applications of data analytics
* Accessible introductions to data acquisition, importation, storage, visualization, and reporting
* Expert insights into serverless data engineering and how to use it to reduce overhead and costs, improve stability, and simplify maintenance
A can't-miss for data architects, analysts, engineers and technical professionals, Data Analytics in the AWS Cloud will also earn a place on the bookshelves of business leaders seeking a better understanding of data analytics on the AWS cloud platform.
In Data Analytics in the AWS Cloud: Building a Data Platform for BI and Predictive Analytics on AWS, accomplished software engineer and data architect Joe Minichino delivers an expert blueprint to storing, processing, analyzing data on the Amazon Web Services cloud platform. In the book, you'll explore every relevant aspect of data analytics--from data engineering to analysis, business intelligence, DevOps, and MLOps--as you discover how to integrate machine learning predictions with analytics engines and visualization tools.
You'll also find:
* Real-world use cases of AWS architectures that demystify the applications of data analytics
* Accessible introductions to data acquisition, importation, storage, visualization, and reporting
* Expert insights into serverless data engineering and how to use it to reduce overhead and costs, improve stability, and simplify maintenance
A can't-miss for data architects, analysts, engineers and technical professionals, Data Analytics in the AWS Cloud will also earn a place on the bookshelves of business leaders seeking a better understanding of data analytics on the AWS cloud platform.
Bibliographische Angaben
- Autor: Joe Minichino
- 2023, 1. Auflage, 416 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 1119909260
- ISBN-13: 9781119909262
- Erscheinungsdatum: 31.03.2023
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Dateiformat: PDF
- Größe: 10 MB
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Sprache:
Englisch
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