Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Cloud Analytics with Google Cloud Platform

You're reading from   Cloud Analytics with Google Cloud Platform An end-to-end guide to processing and analyzing big data using Google Cloud Platform

Arrow left icon
Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788839686
Length 282 pages
Edition 1st Edition
Concepts
Arrow right icon
Author (1):
Arrow left icon
Sanket Thodge Sanket Thodge
Author Profile Icon Sanket Thodge
Sanket Thodge
Arrow right icon
View More author details
Toc

Table of Contents (11) Chapters Close

Preface 1. Introducing Cloud Analytics FREE CHAPTER 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 10. Other Books You May Enjoy

Building a Data Lake for a Telecom Client


This use case is going to focus more on the analytics engine and building a Data Lake on cloud.

Abstract

A telecom company requires a to build a Data Lake on cloud and build an analytics engine on the top of that.

Introduction

The telecom project comprises building a Data Lake as well as data migration for a 25 years old telecom company. The client is a renowned telecom company and has a good presence in Asia, Europe, Africa, and some parts of North America. Their customer base is widely spread across India, Bangladesh, African countries, Latin America, and Middle-Eastern countries. The data resides in various data sources, more than 205. The data includes customer data (even secured), customer location data, tower locations for specific geographies, customer care complaints, feedback, and many other types of data.

Data is in CSV, PSV, TEXT, MSG, audio files, XML, JSON, and even in RDBMS (MySQL, Sybase, Oracle) databases in structured format.

The first...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image