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Table Of Contents

Cloud Analytics with Google Cloud Platform

By : Thodge

3 (6)

Buy this Book

Cloud Analytics with Google Cloud Platform

3 (6)

By: Thodge

Buy this Book

Overview of this book

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

Preface

Who this book is for

What this book covers

To get the most out of this book

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Free Chapter

Introducing Cloud Analytics

What is cloud computing?

Major benefits of cloud computing

Cloud computing deployment models

Types of cloud computing services

How PaaS, IaaS, and SaaS are separated at service level

Emerging cloud technologies and services

Risks and challenges with the cloud

What is cloud analytics?

10 major cloud vendors in the world

Google Cloud Platform introduction—video

Summary

Design and Business Considerations

A bit more about cloud computing and migration

Parameters before adopting cloud strategy

Prerequisites for an application to be moved to the cloud

Infrastructure contemplation for cloud

Available deployment models while moving to cloud

Cloud migration checklist

Architecture of a cloud computing ecosystem

Applications of cloud computing

Preparing a plan for moving to cloud computing

Technologies utilized by cloud computing

Summary

GCP 10,000 Feet Above – A High-Level Understanding of GCP

Different services offered by typical cloud vendors

Understanding cloud categories

Overview to Google Cloud Platform Console—Video

Summary

Ingestion and Storing – Bring the Data and Capture It

Cloud Dataflow

Cloud Pub/Sub

Cloud storage

Cloud SQL

Cloud BigTable

Cloud Spanner

Cloud Datastore

Persistent disks

Summary

Processing and Visualizing – Close Encounter

Google BigQuery

Cloud Dataproc

Google Cloud Datalab

Google Data Studio

Google Compute Engine

Google App Engine

Google Container Engine

Google Cloud Functions

Summary

Machine Learning, Deep Learning, and AI on GCP

Artificial intelligence

Machine learning

Google Cloud Platform

Google Cloud Machine Learning Engine

Cloud Natural Language API

TensorFlow

Cloud Speech API

Cloud Translation API

Cloud Vision API

Cloud Video Intelligence

Dialogflow

AutoML

Summary

Guidance on Google Cloud Platform Certification

Professional Cloud Architect Certification

Professional Data Engineer Certification

When to use What

Summary

Business Use Cases

Smart Parking Solution by Mark N Park

DSS for web mining recommendation using TensorFlow

Building a Data Lake for a Telecom Client

Summary

Introduction to AWS and Azure

Amazon Web Services

Microsoft Azure

Head to head of Google Cloud Platform with Amazon Web Services and Microsoft Azure

Summary

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Summary

In this chapter, we studied the basics of cloud computing, the different models we have, and what different service models we have.

We also studied security and the importance of security in cloud architecture.

Then I also introduced you to a few major cloud vendors, such as Google Cloud Platform, Amazon Web Services, and Microsoft Azure.

In the next chapter, we will study architecture at a better and elaborate level. This will give you a very precise idea about the cloud and how it works.

Tech Concepts

Programming languages

Tech Tools