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Cloud Analytics with Google Cloud Platform

Računarstvo u oblaku Računarstvo u oblaku

Cloud Analytics with Google Cloud Platform

Autor: Sanket Thodge
Broj strana: 282
ISBN broj: 9781788839686
Godina izdanja: 2018.

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What You Will Learn

  • Explore the basics of cloud analytics and the major cloud solutions
  • Learn how organizations are using cloud analytics to improve the ROI
  • Explore the design considerations while adopting cloud services
  • Work with the ingestion and storage tools of GCP such as Cloud Pub/Sub
  • Process your data with tools such as Cloud Dataproc, BigQuery, etc
  • Over 70 GCP tools to build an analytics engine for cloud analytics
  • Implement machine learning and other AI techniques on GCP

Book Description

With the ongoing data explosion, more and more organizations all over the world are slowly migrating their infrastructure to the cloud. These cloud platforms also provide their distinct analytics services to help you get faster insights from your data.

This book will give you an introduction to the concept of analytics on the cloud, and the different cloud services popularly used for processing and analyzing data. If you’re planning to adopt the cloud analytics model for your business, this book will help you understand the design and business considerations to be kept in mind, and choose the best tools and alternatives for analytics, based on your requirements. The chapters in this book will take you through the 70+ services available in Google Cloud Platform and their implementation for practical purposes. From ingestion to processing your data, this book contains best practices on building an end-to-end analytics pipeline on the cloud by leveraging popular concepts such as machine learning and deep learning.

By the end of this book, you will have a better understanding of cloud analytics as a concept as well as a practical know-how of its implementation


Sanket Thodge

Sanket Thodge is an entrepreneur by profession based out of Pune, India. He started his journey in the service industry, but soon incorporated startup with the name Pi R Square Digital Solutions Pvt. Ltd. With expertise in Hadoop Developer, he explored Cloud, IoT, Machine Learning, and Blockchain. He has also applied for a patent in IoT and has worked with numerous startups and multinationals in providing consultancy, architecture building, development, and corporate training across the globe.

Table of Contents

Chapter 1: Introducing Cloud Analytics
Chapter 2: Design and Business Considerations
Chapter 3: GCP 10,000 Feet Above – A High-Level Understanding of GCP
Chapter 4: Ingestion and Storing – Bring the Data and Capture It
Chapter 5: Processing and Visualizing – Close Encounter
Chapter 6: Machine Learning, Deep Learning, and AI on GCP
Chapter 7: Guidance on Google Cloud Platform Certification
Chapter 8: Business Use Cases
Chapter 9: Introduction to AWS and Azure


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