{"product_id":"9781119909248","title":"Data Analytics in the AWS Cloud Building a Data Platform for BI and Predictive Analytics on AWS","description":"\u003ch1\u003eData Analytics in the AWS Cloud\u003c\/h1\u003e\u003ch2\u003eBuilding a Data Platform for BI and Predictive Analytics on AWS\u003c\/h2\u003e\u003ch3\u003eJoe Minichino\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eComputers \/ Data Science \/ Data Visualization\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\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\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, 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\u003cp\u003eYou’ll also find: \u003c\/p\u003e\n\u003cul\u003e \u003cli\u003eReal-world use cases of AWS architectures that demystify the applications of data analytics\u003c\/li\u003e \u003cli\u003eAccessible introductions to data acquisition, importation, storage, visualization, and reporting\u003c\/li\u003e \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\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\u003cdiv\u003e  \u003cp\u003e\u003cb\u003eGIONATA “JOE” MINICHINO\u003c\/b\u003e is Principal Software Engineer and Data Architect on the Data \u0026amp;  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. \u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e02 May 2023\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eSybex\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9781119909248\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003ePaperback \/ softback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e416\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e24.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44378614857868,"sku":"9781119909248","price":54.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781119909248.jpg?v=1780241102","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9781119909248","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}