Data Analytics in the AWS Cloud

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A01=Joe Minichino
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amazon data analytics
Author_Joe Minichino
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aws bi
aws business intelligence
aws cloud data pipelines
Aws data analytics
aws predictive analysis
aws serverless data engineering
Category1=Non-Fiction
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cloud data analytics
COP=United States
data analytics intro
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serverless data engineering
softlaunch

Product details

  • ISBN 9781119909248
  • Weight: 680g
  • Dimensions: 185 x 231mm
  • Publication Date: 18 May 2023
  • Publisher: John Wiley & Sons Inc
  • Publication City/Country: US
  • Product Form: Paperback
  • Language: English
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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.

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.

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