Loading Data into Google BigQuery for Exploratory Data Analysis
1 个小时 30 分钟
7 个积分
GSP202
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.
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- 获取对“Google Cloud Console”的临时访问权限。
- 200 多项实验，从入门级实验到高级实验，应有尽有。
- 内容短小精悍，便于您按照自己的节奏进行学习。
分数
—/100
Create a federated table in a BigQuery dataset
/ 25
Execute queries in BigQuery
/ 25
Create the AI Platform notebook instance
/ 25
Create the Model using the Training Dataset
/ 25