menu
arrow_back

Loading Data into Google BigQuery for Exploratory Data Analysis

Loading Data into Google BigQuery for Exploratory Data Analysis

1 hour 15 minutes 7 Credits

GSP202

Google Cloud Self-Paced Labs

Overview

In this lab you will learn how to load text data into Google BigQuery and then use that data for rapid exploratory data analysis using Google Cloud JupyterLab notebooks. JupyterLab Notebooks is integrated with BigQuery, Cloud Dataproc, and Cloud Dataflow, making it easy to go from data ingestion to preprocessing and exploration, and eventually model training and deployment.

Google BigQuery is a RESTful web service that enables interactive analysis of massively large datasets working in conjunction with Google Storage.

Join Qwiklabs to read the rest of this lab...and more!

  • Get temporary access to the Google Cloud Console.
  • Over 200 labs from beginner to advanced levels.
  • Bite-sized so you can learn at your own pace.
Join to Start This Lab
Score

—/100

Create a federated table in a BigQuery dataset

Run Step

/ 25

Execute queries in BigQuery

Run Step

/ 25

Create the AI Platform notebook instance

Run Step

/ 25

Execute query in jupyter notebook

Run Step

/ 25