Data Analytics in the AWS Cloud - by Joe Minichino (Paperback)

Book Synopsis

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.

From the Back Cover

Accessible and hands-on guidance for data analytics solutions built on the AWS cloud

In Data Analytics in the AWS Cloud: Building a Data Platform for BI and Predictive Analytics on AWS, veteran data architect and software engineer Joe Minichino delivers an insightful and practical blueprint to storing, processing, and analyzing data on the Amazon Web Services cloud platform. The author explains every relevant aspect of AWS data analytics--from data engineering to analysis, business intelligence, DevOps, MLOps, and more--as he walks you through how to integrate machine learning predictions with analytics engines and data visualization tools.

The book includes real-world case studies of businesses using AWS architectures to apply cutting-edge data analytics and offers comprehensive coverage of data acquisition, importation, storage, visualization, and reporting in the Amazon cloud environment. It also discusses expert insights into serverless data engineering, showing you how to use it to reduce overhead and costs, simplify maintenance, and improve stability across the board.

An essential resource for data analysts, architects, and engineers, Data Analytics in the AWS Cloud will also benefit a wide variety of technical professionals and business leaders who seek a fuller understanding of how to use Amazon Web Services to enable and deploy superior data analytics solutions.

About the Author

GIONATA "JOE" MINICHINO is Principal Software Engineer and Data Architect on the Data & Analytics Team at Teamwork. He specializes in cloud computing, machine/deep learning, and artificial intelligence and designs end-to-end Amazon Web Services pipelines that move large quantities of diverse data for analysis and visualization.