{"title":"Joe Minichino","description":"\u003cp\u003eWelcome to the Joe Minichino collection, where technology enthusiasts and professionals can delve into the intricacies of \u003cem\u003eComputing \u0026amp; Technology\u003c\/em\u003e. Joe Minichino is a renowned author and expert in the field of data analytics and cloud computing, offering invaluable insights for those looking to navigate the complex landscape of the digital world.\u003c\/p\u003e\n\n\u003cp\u003eIn his work, Minichino combines practical knowledge with strategic expertise, making these resources an excellent choice for those aiming to boost their understanding of modern computing technologies. His book, \u003cem\u003eData Analytics in the AWS Cloud\u003c\/em\u003e, provides a comprehensive guide to harnessing the power of Amazon Web Services for data analysis, a must-read for anyone interested in practical applications of cloud technologies.\u003c\/p\u003e\n\n\u003cp\u003eWhether you are a seasoned professional or just starting out in the realm of data analytics, Joe Minichino’s books offer a wealth of information that is both educational and accessible. Discover how you can leverage cloud computing to drive innovation and efficiency in your work or projects.\u003c\/p\u003e","products":[{"product_id":"data-analytics-in-the-aws-cloud-by-joe-minichino-9781119909248","title":"Data Analytics in the AWS Cloud","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003cb\u003eA comprehensive and accessible roadmap to performing data analytics in the AWS cloud\u003c\/b\u003e\u003c\/p\u003e\n\n\u003cp\u003eIn \u003ci\u003eData Analytics in the AWS Cloud: Building a Data Platform for BI and Predictive Analytics on AWS\u003c\/i\u003e, accomplished software engineer and data architect Joe Minichino delivers an expert blueprint to storing, processing, and 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.\u003c\/p\u003e\n\n\u003cp\u003eYou'll also find:\u003c\/p\u003e\n\n\u003cul\u003e\n  \u003cli\u003eReal-world use cases of AWS architectures that demystify the applications of data analytics\u003c\/li\u003e\n  \u003cli\u003eAccessible introductions to data acquisition, importation, storage, visualization, and reporting\u003c\/li\u003e\n  \u003cli\u003eExpert insights into serverless data engineering and how to use it to reduce overhead and costs, improve stability, and simplify maintenance\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eA can't-miss for data architects, analysts, engineers, and technical professionals, \u003ci\u003eData Analytics in the AWS Cloud\u003c\/i\u003e will also earn a place on the bookshelves of business leaders seeking a better understanding of data analytics on the AWS cloud platform.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":47000587305196,"sku":"9781119909248","price":114.99,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/20039543482586.jpg?v=1763287276"}],"url":"https:\/\/bookhero.live\/collections\/joe-minichino.oembed","provider":"Book Hero","version":"1.0","type":"link"}