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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.

Lab platform
Lab Info
Level
Intermediate
Last updated
Sep 21, 2025
Duration
1h 45m

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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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