- Lab
- A Cloud Guru
Reading Data from Cloud Bigtable with Cloud Functions
Cloud Bigtable can store petabytes of data — and Cloud Functions can access any of that data, parse it, and send it on to another service. In this hands-on lab, you'll first create a Bigtable instance as well as a table and populate it with test data. Then you'll build an HTTP-triggered Cloud Function to read specific elements of that data and output it for verification.
Path Info
Table of Contents
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Challenge
Enable APIs
Enable the APIs necessary for creating a Cloud Function.
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Challenge
Create and Prepare the Cloud Bigtable Instance
Create a Cloud Bigtable instance and then connect to it in the Cloud Shell so that you can create a test table and populate it with sample data.
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Challenge
Retrieve the Working Files
Clone a Github repository to access the source files for the Cloud Function.
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Challenge
Create and Test the Cloud Function
Create, deploy, and test a Cloud Function, triggered by HTTP, to read and output selected data from Cloud Bigtable.
What's a lab?
Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.
Provided environment for hands-on practice
We will provide the credentials and environment necessary for you to practice right within your browser.
Guided walkthrough
Follow along with the author’s guided walkthrough and build something new in your provided environment!
Did you know?
On average, you retain 75% more of your learning if you get time for practice.
