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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

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788839686
Length 282 pages
Edition 1st Edition
Concepts
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Author (1):
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Sanket Thodge Sanket Thodge
Author Profile Icon Sanket Thodge
Sanket Thodge
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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

Google BigQuery


Google BigQuery is a framework created by Google that helps to execute SQL-like queries on vast amounts of data at great speeds. Your own dataset can be uploaded to BigQuery, or for sandbox play, some other dataset can be used. The Results can be captured and stored on Google Cloud or can be downloaded as a CSV/Excel file on a local system.

Google BigQuery is a data warehouse framework that resolves problems by enabling super­fast SQL queries, using the execution power of Google's infra services. Also, any data can be updated or monitored based on the business needs. It can even provide others the ability to view or execute some queries on the data. BigQuery can be accessed by using a web User Interface or command-line argument; you can even make calls to the BigQuery REST API using a variety of client libraries such as Java, .NET, or Python. Also there are a variety of third-party tools that you can use to interact with BigQuery for visualizing or loading data.

Storing data...

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