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Home > Computing and Information Technology > Computer programming / software engineering > Programming and scripting languages: general > Serverless Sql Power: Big Data Analytics On Demand
Serverless Sql Power: Big Data Analytics On Demand

Serverless Sql Power: Big Data Analytics On Demand


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About the Book

Serverless SQL Power: Big Data Analytics On Demand is a comprehensive guide that offers practical insights and strategies on how to leverage serverless computing for performing powerful big data analytics effortlessly. In today's fast-paced world, businesses are constantly looking for ways to analyze vast amounts of data quickly and efficiently. With the rise of serverless computing, organizations now have the opportunity to harness the power of SQL for their data analytics needs without the hassle of managing servers. This book delves into the concept of serverless computing and its benefits, providing readers with a clear understanding of how they can use SQL to analyze data on demand. From understanding the basics of serverless architecture to exploring different SQL tools and techniques, this book covers all the essentials needed to get started with serverless SQL analytics. Whether you are a data analyst, a business intelligence professional, or a technology enthusiast, Serverless SQL Power: Big Data Analytics On Demand is the perfect resource to help you unlock the full potential of serverless computing for your analytics needs. With practical examples, case studies, and step-by-step tutorials, this book will guide you through the process of setting up serverless SQL environments, querying big data sets, and optimizing your analytics workflow for maximum efficiency. Don't miss out on this opportunity to revolutionize your data analytics capabilities with serverless SQL. Pick up your copy of Serverless SQL Power: Big Data Analytics On Demand today and start unleashing the full power of your data analytics capabilities.


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Product Details
  • ISBN-13: 9798292172628
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 279 mm
  • No of Pages: 58
  • Returnable: N
  • Sub Title: Big Data Analytics On Demand
  • Width: 216 mm
  • ISBN-10: 8292172629
  • Publisher Date: 12 Jul 2025
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 3 mm
  • Weight: 209 gr


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