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Labs

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.

Labs

Path Info

Level
Clock icon Intermediate
Duration
Clock icon 1h 45m
Published
Clock icon Mar 24, 2023

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Table of Contents

  1. Challenge

    Enable APIs

    Enable the APIs necessary for creating a Cloud Function.

  2. 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.

  3. Challenge

    Retrieve the Working Files

    Clone a Github repository to access the source files for the Cloud Function.

  4. 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.

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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.