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
Conferences
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 2. Design and Business Considerations FREE CHAPTER 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...

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