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Data Analytics in the AWS Cloud: Building a Data Platform for BI and Predictive Analytics on AWS

English

By (author): Joe Minichino

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, youll explore every relevant aspect of data analyticsfrom data engineering to analysis, business intelligence, DevOps, and MLOpsas you discover how to integrate machine learning predictions with analytics engines and visualization tools.

Youll 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.

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Current price €56.99
Original price €59.99
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A01=Joe MinichinoAge Group_UncategorizedAuthor_Joe Minichinoautomatic-updateCategory1=Non-FictionCategory=UNFCOP=United StatesDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=AvailablePrice_€50 to €100PS=Activesoftlaunch
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Product Details
  • Weight: 680g
  • Dimensions: 185 x 231mm
  • Publication Date: 18 May 2023
  • Publisher: John Wiley & Sons Inc
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9781119909248

About Joe Minichino

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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