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Loading Data into Google BigQuery for Exploratory Data Analysis

90m access · 75m completion
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7 Credits

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This lab costs 7 Credits to run. You can purchase credits or a subscription under My Account.

01:30:00

Loading Data into Google BigQuery for Exploratory Data Analysis

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 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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