September 2022
Intermediate to advanced
549 pages
11h 27m
Chinese
Content preview from 基于AWS的数据科学实践
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145
第 5 章
探索数据集
在第
4
章，我们演示了如何通过
Amazon Athena
和
Redshift
将数据接入云。
Amazon
Athena
为
S3
中的数据提供了按需的无服务器
SQL
查询，而无需配置、扩展并管理
任何集群。
Amazon Redshift
为企业报表和商业智能工作负载提供了最佳的查询性
能，尤其是那些包含多个连接和子查询、跨越包括关系型数据库和文件在内的许多
数据源的复杂
SQL
。我们使用
AWS Glue Catalog
在
S3
中为基于
S3
的数据湖创建
了一个数据目录映射。我们通过
Athena
在数据湖上运行点对点查询。我们还通过
Amazon Redshift
在数据仓库上运行查询。
我们也第一次窥探了我们的数据集。正如我们了解到的，
Amazon
客户评价数据集
包含在
1995~2015
年间，针对
Amazon.com
上
43
个不同产品种类产品的超过
1.5
亿
条客户评价。该数据集包含真实的客户评价文本以及额外的元数据。这些数据有两
种格式：基于行的、由制表符分割的值（
TSV
）和基于列的
Apache Parquet
。
在本章，我们会使用
SageMaker Studio
集成开发环境（
IDE
）作为我们数据分析
和模型开发生命周期的主要工作区。
SageMaker Studio
提供了完全托管的
Jupyter
Notebook
服务器。只需要若干次点击，我们可以创建
SageMaker Studio IDE
，开始使
用
Jupyter
笔记本来运行点对点数据分析并启动基于
Apache Spark
的数据质量任务。
我们会在本书余下的部分使用 ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.