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AWS云端的Big Data

3 Steps 小时 26 积分

科学家,开发者和其他来自各行各业地技术人员可以利用AWS来进行大数据分析,以满足不断增加地数据量,数据种类和快速访问数字信息的需求带来的挑战。AWS提供云计算服务的服务组合,可以帮助你降低成本,弹性扩展来满足业务需求,并且加快创新的步伐。在本任务中,你将学习使用大数据的基本服务。

Objectives:

This quest is designed to teach you how to work with AWS services to perform big data analytics on the cloud.

Quest Outline

Hands-On Lab

使用 Amazon Redshift

本实验演示了如何使用 Amazon RedShift 来创建集群、加载数据、运行查询以及监控性能。注意:在本实验中,学员需要下载免费的 SQL 客户端。

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Hands-On Lab

Exploring Google Ngrams with Amazon EMR

This lab demonstrates how to launch an Amazon Elastic MapReduce (EMR) cluster for Big Data processing and use Hive with SQL-style queries to analyze data. You will create a Hadoop cluster using Amazon EMR which will allow to run interactive Hive queries against data stored in Amazon S3. You will use Hive to normalize the data in a more useful way, and you will run queries to analyze the data.

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Hands-On Lab

Analyze Big Data with Hadoop

In this lab, you will deploy a fully functional Hadoop cluster, ready to analyze log data in just a few minutes. You will start by launching an Amazon EMR cluster and then use a HiveQL script to process sample log data stored in an Amazon S3 bucket. HiveQL is a SQL-like scripting language for data warehousing and analysis. You can then use a similar setup to analyze your own log files.

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