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Cloud Analytics with Google Cloud Platform

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  • Дата: 8-05-2018, 14:49
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Название: Cloud Analytics with Google Cloud Platform
Автор: Sanket Thodge
Издательство: Packt Publishing
ISBN: 1788839684
Год: 2018
Страниц: 282
Язык: английский
Формат: epub
Размер: 10.09 MB

Combine the power of analytics and cloud computing for faster and efficient insights.

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

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

Table of Contents:
1: INTRODUCING CLOUD ANALYTICS
2: DESIGN AND BUSINESS CONSIDERATIONS
3: GCP 10,000 FEET ABOVE – A HIGH-LEVEL UNDERSTANDING OF GCP
4: INGESTION AND STORING – BRING THE DATA AND CAPTURE IT
5: PROCESSING AND VISUALIZING – CLOSE ENCOUNTER
6: MACHINE LEARNING, DEEP LEARNING, AND AI ON GCP
7: GUIDANCE ON GOOGLE CLOUD PLATFORM CERTIFICATION
8: BUSINESS USE CASES
9: INTRODUCTION TO AWS AND AZURE

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