Data Analytics with Google Cloud Platform: Build Real Time Data Analytics on Google Cloud Platform (English Edition)

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(as of May 20,2023 19:13:19 UTC – Details)

This book is a step-by-step guide to various data movement and processing techniques using various Google Cloud Platform (GCP) services. The key features that this book will cover include learning the basic concept of Cloud Computing along with different cloud service providers, such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). You will also learn about the basics of Compute Engine, App Engine, Container Engine, Project and Billing setup, and much more.

This book highlights the significance of several Google Cloud Platform services, such as Cloud Data Flow, Cloud DataProc, and Cloud DataPrep. Furthermore, you will learn how to build a real-time data pipeline that supports real-time analytics using Pub/Sub messaging service. You will also know how to set up a fully managed GCP Big Data Cluster using Cloud DataProc for running Apache Spark and Apache Hadoop clusters in a simpler and more cost-efficient manner.

Additionally, you will learn how to use Cloud Data Studio for visualizing data over Big Query. This book also includes the implementation and comprehension of real-world business scenarios for Machine Learning and Data Pipeline Engineering. By the end of this book, you will have gained enough knowledge to become proficient in using GCP data analytics technologies.

In terms of Table of Contents, this book will cover:
1. GCP Overview and Architecture
2. Data Storage in GCP
3. Data Processing in GCP with Pub/Sub and Dataflow
4. Data Processing in GCP with DataPrep and Dataflow
5. Big Query and Data Studio
6. Machine Learning with GCP
7. Sample Use cases and Examples

The target audience of this book includes data engineers and professionals who are both new and familiar with the cloud and data space. Professionals or graduates who want to build a career in Google Cloud data analytics technologies can also use this book as a reference guide. Individuals who have fundamental data understanding and who have done some work in the field of data analytics can refer to or use this book to master their knowledge. The book starts with the basic cloud computing fundamentals and will gradually cover advanced concepts in GCP cloud data analytics making it a one-stop-shop for anyone interested in GCP data platform.

About the Author
Murari Ramuka is a seasoned Data Analytics professional with 12+ years of experience in enabling data analytics platforms using traditional DW/BI and Cloud Technologies (Azure, Google Cloud Platform) to uncover hidden insights and maximize revenue, profitability and ensure efficient operations management. He has worked with several multinational IT giants like Capgemini, Cognizant, Syntel and Icertis.

His LinkedIn Profile: https://www.linkedin.com/in/murari-ramuka-98a440a/

ASIN ‏ : ‎ B082SY21HZ
Publisher ‏ : ‎ BPB Publications; 1st edition (December 14, 2019)
Publication date ‏ : ‎ December 14, 2019
Language ‏ : ‎ English
File size ‏ : ‎ 14948 KB
Text-to-Speech ‏ : ‎ Enabled
Screen Reader ‏ : ‎ Supported
Enhanced typesetting ‏ : ‎ Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Not Enabled
Sticky notes ‏ : ‎ On Kindle Scribe
Print length ‏ : ‎ 268 pages
Page numbers source ISBN ‏ : ‎ 9389423635