• Complain

Sanket Thodge - Cloud Analytics with Google Cloud Platform

Here you can read online Sanket Thodge - Cloud Analytics with Google Cloud Platform full text of the book (entire story) in english for free. Download pdf and epub, get meaning, cover and reviews about this ebook. year: 2018, publisher: Packt Publishing, genre: Home and family. Description of the work, (preface) as well as reviews are available. Best literature library LitArk.com created for fans of good reading and offers a wide selection of genres:

Romance novel Science fiction Adventure Detective Science History Home and family Prose Art Politics Computer Non-fiction Religion Business Children Humor

Choose a favorite category and find really read worthwhile books. Enjoy immersion in the world of imagination, feel the emotions of the characters or learn something new for yourself, make an fascinating discovery.

No cover
  • Book:
    Cloud Analytics with Google Cloud Platform
  • Author:
  • Publisher:
    Packt Publishing
  • Genre:
  • Year:
    2018
  • Rating:
    5 / 5
  • Favourites:
    Add to favourites
  • Your mark:
    • 100
    • 1
    • 2
    • 3
    • 4
    • 5

Cloud Analytics with Google Cloud Platform: summary, description and annotation

We offer to read an annotation, description, summary or preface (depends on what the author of the book "Cloud Analytics with Google Cloud Platform" wrote himself). If you haven't found the necessary information about the book — write in the comments, we will try to find it.

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

About This Book

  • Master the concept of analytics on the cloud: and how organizations are using it
    • Learn the design considerations and while applying a cloud analytics solution
    • Design an end-to-end analytics pipeline on the cloud

      Who This Book Is For

      This book is targeted at CIOs, CTOs, and even analytics professionals looking for various alternatives to implement their analytics pipeline on the cloud. Data professionals looking to get started with cloud-based analytics will also find this book useful. Some basic exposure to cloud platforms such as GCP will be helpful, but not mandatory.

      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

      In Detail

      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 youre 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

      Style and approach

      Comprehensive guide with a perfect blend of theory, examples, and implementation of real-world use-cases

  • Sanket Thodge: author's other books


    Who wrote Cloud Analytics with Google Cloud Platform? Find out the surname, the name of the author of the book and a list of all author's works by series.

    Cloud Analytics with Google Cloud Platform — read online for free the complete book (whole text) full work

    Below is the text of the book, divided by pages. System saving the place of the last page read, allows you to conveniently read the book "Cloud Analytics with Google Cloud Platform" online for free, without having to search again every time where you left off. Put a bookmark, and you can go to the page where you finished reading at any time.

    Light

    Font size:

    Reset

    Interval:

    Bookmark:

    Make
    Cloud Analytics with Google Cloud Platform An end-to-end guide to processing - photo 1
    Cloud Analytics with Google Cloud Platform
    An end-to-end guide to processing and analyzing big data using Google Cloud Platform
    Sanket Thodge

    BIRMINGHAM - MUMBAI Cloud Analytics with Google Cloud Platform Copyright 2018 - photo 2

    BIRMINGHAM - MUMBAI
    Cloud Analytics with Google Cloud Platform

    Copyright 2018 Packt Publishing

    All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

    Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.

    Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

    Commissioning Editor: Amey Varangaonkar
    Acquisition Editor: Viraj Madhav
    Content Development Editor: Varun Sony
    Technical Editor: Dinesh Chaudhary
    Copy Editor: Safis Editing
    Project Coordinator: Manthan Patel
    Proofreader: Safis Editing
    Indexer: Aishwarya Gangawane
    Graphics: Tania Dutta
    Production Coordinator: Aparna Bhagat

    First published: April 2018

    Production reference: 1060418

    Published by Packt Publishing Ltd.
    Livery Place
    35 Livery Street
    Birmingham
    B3 2PB, UK.

    ISBN 978-1-78883-968-6

    www.packtpub.com

    maptio Mapt is an online digital library that gives you full access to over - photo 3
    mapt.io

    Mapt is an online digital library that gives you full access to over 5,000 books and videos, as well as industry leading tools to help you plan your personal development and advance your career. For more information, please visit our website.

    Why subscribe?
    • Spend less time learning and more time coding with practical eBooks and Videos from over 4,000 industry professionals

    • Improve your learning with Skill Plans built especially for you

    • Get a free eBook or video every month

    • Mapt is fully searchable

    • Copy and paste, print, and bookmark content

    PacktPub.com

    Did you know that Packt offers eBook versions of every book published, with PDF and ePub files available? You can upgrade to the eBook version at www.PacktPub.com and as a print book customer, you are entitled to a discount on the eBook copy. Get in touch with us at service@packtpub.com for more details.

    At www.PacktPub.com , you can also read a collection of free technical articles, sign up for a range of free newsletters, and receive exclusive discounts and offers on Packt books and eBooks.

    Foreword

    Over last three decades, the computing industry is moving in a definite direction. Big and centralized systems such as mainframes have been replaced by small virtual systems in cloud.

    Instead of using computer hardware and software within a firm's own network or data-center (or an individual's laptop), the same computing power is available as a service and these services are offered by specialist companies. This computing power can be accessed over the internet seamlessly.

    Personal devices such as tablets, PCs, and mobiles generate tens of trillions of data points. If someone can analyze such a volume of data then this offers countless possibilities to use such a data for larger good of the society which include ease in governance or businesses. Businesses make use of it for commercial gains. Cloud is the best and the most economical platform to introspect and comprehend such large volumes of data we all generate every minute these days.

    However, analyzing such a large volume of data requires a huge cache of computing power which is expensive and capital intensive. One of the quick solutions is to utilize the on-demand and managed computing services in cloud which can be scaled within no time, put to use and discarded at the end of specific analysis. In fact, most cloud vendors offer specialized services which can be better described as analytics as a service.

    It is not easy to foray into this technical domain. It involves learning the cloud, internals of cloud, hardware, software, virtualization and hundreds of services each cloud vendor offers.

    This book simplifies complex topics such as cloud, types of cloud, their offerings and compares major cloud platforms such as Amazon AWS, Microsoft Azure and Google GCP for quick learning. Chapters in the book are dedicated to Google Cloud Platform specifically for analytics purpose and describes in great detail how to use the Google platform for such analytics.

    This book not only demonstrates a detailed understanding of complex suite of tools offered by GCP for analytics, but also describes similar tools from other cloud vendors. This book dedicates many chapters to how to move data to GCP, ingest, analyze, visualize, and is inclusive of the use of artificial intelligence and machine learning techniques. Most importantly, the theoretical description is complemented by detailed discussion of use cases. Besides analytics, this book also describes the value of cloud certification and the required know-how for GCP Architect certification.

    -Anand Vemula

    Expert in AWS with 19 years of experience in
    software engineering and is the Vice President
    for worlds leading bank firm.

    Contributors
    About the author

    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.

    About the reviewers

    Rajeev Goel has over 24 years of experience as a software architect in project management, software development, and presales. He has worked on various cloud computing and big data technologies. He received his BE (electronics) from Shivaji University. He is currently a freelance trainer and consultant. His previous experience includes big names in the IT industry and clients in construction, telecoms, manufacturing/automobile, finance, and the public sector.

    Dr. M Varaprasad Rao is a professor in the department of computer science at the CMR technical campus. He has a teaching experience of over 16 years, both in academia and industry. He is involved in teaching courses at both UG and PG levels, including curriculum development. His research interests include data mining, security, cloud, and analytics. He was a BoS member. He has contributed 25 papers, 4 book chapters to IGI Global, and has 3 patents. He is a lifetime member of CSI, ISTE, and IAEng.

    Next page
    Light

    Font size:

    Reset

    Interval:

    Bookmark:

    Make

    Similar books «Cloud Analytics with Google Cloud Platform»

    Look at similar books to Cloud Analytics with Google Cloud Platform. We have selected literature similar in name and meaning in the hope of providing readers with more options to find new, interesting, not yet read works.


    Reviews about «Cloud Analytics with Google Cloud Platform»

    Discussion, reviews of the book Cloud Analytics with Google Cloud Platform and just readers' own opinions. Leave your comments, write what you think about the work, its meaning or the main characters. Specify what exactly you liked and what you didn't like, and why you think so.