Cloud Computing for Data Analysis

Cloud Computing for Data Analysis
  • eBook:
    Cloud Computing for Data Analysis: The missing semester of Data Science
  • Author:
    Noah Gift
  • Edition:
  • Categories:
  • Data:
    September 1, 2020
  • ISBN:
  • ISBN-13:
  • Language:
  • Pages:
    197 Pages
  • Format:

Book Description
This book is designed to give you a comprehensive view of cloud computing including Big Data and Machine Learning. Many resources will be used including interactive labs on Cloud Platforms (Google, AWS, Azure) using Python. This is a project-based book with extensive hands-on assignments. Based on material taught at leading universities.
After reading this book you will be able to:
  • Summarize the fundamentals of cloud computing
  • Evaluate the economics of cloud computing
  • Accurately evaluate distributed computing challenges and opportunities and apply this knowledge to real-world projects.
  • Develop non-linear life-long learning skills
  • Build, share and present compelling portfolios using: Github, YouTube, and Linkedin.


Chapter 1: Getting Started
Chapter 2: Cloud Computing Foundations
Chapter 3: Virtualization & Containerization
Chapter 4: Challenges and Opportunities in Distributed Computing
Chapter 5: Cloud Storage
Chapter 6: Serverless
Chapter 7: Big Data Platforms
Chapter 8: Managed Machine Learning Systems, Platforms and AutoML
Chapter 9: Edge Computing
Chapter 10: Data Science Case Studies and Projects
Chapter 11: Essays
Chapter 12: Cloud Certifications
Chapter 13: Career

Download Cloud Computing for Data Analysis: The missing semester of Data Science PDF or ePUB format free

Free sample

Download in .ePUB format

Add comments
Введите код с картинки:*
Кликните на изображение чтобы обновить код, если он неразборчив
Copyright © 2019