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.

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Path Info

Level

Intermediate

Duration

1h 45m

Published

Mar 24, 2023

Challenge

Enable APIs

Enable the APIs necessary for creating a Cloud Function.
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.
Challenge

Retrieve the Working Files

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

Author

A Cloud Guru

The Cloud Content team comprises subject matter experts hyper focused on services offered by the leading cloud vendors (AWS, GCP, and Azure), as well as cloud-related technologies such as Linux and DevOps. The team is thrilled to share their knowledge to help you build modern tech solutions from the ground up, secure and optimize your environments, and so much more!

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.