Loading Data into Google BigQuery for Exploratory Data Analysis
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 Datalab notebooks. Datalab allows you to easily connect a range of cloud data sources, such as Google BigQuery, Cloud SQL, or simple text data stored on Google Cloud Storage, to Python processing and visualization tools such as numpy, Pandas and Seaborn, so you can focus on your data science tasks.
Google BigQuery is a RESTful web service that enables interactive analysis of massively large datasets working in conjunction with Google Storage.
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- 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.
Create a new Google Cloud Datalab instance.
Create a notebook into Cloud Datalab