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 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.
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Create a federated table in a BigQuery dataset
Execute queries in BigQuery
Create the AI Platform notebook instance
Create the Model using the Training Dataset