在本課程中，將了解以雲端為基礎的大數據解決方案，例如 Amazon EMR、Amazon Redshift、Amazon Kinesis 及其他 AWS 大數據平台。
介紹如何使用 Amazon EMR，以 Hive 和 Hue 這類廣泛的 Hadoop 工具生態系統處理資料。
授課內容還包括如何建立大數據環境，使用 Amazon DynamoDB、Amazon Redshift、Amazon QuickSight、Amazon Athena 和 Amazon Kinesis，以及利用最佳實務來設計具安全性和成本效益的大數據環境。
In this course, you will learn about cloud-based large-data solutions such as Amazon EMR, Amazon Redshift, Amazon Kinesis, and other AWS large-data platforms.
Introduce how to use Amazon EMR to process data with a wide range of Hadoop tools such as Hive and Hue.
The course also includes how to build a large data environment, using Amazon DynamoDB, Amazon Redshift, Amazon QuickSight, Amazon Athena, and Amazon Kinesis, and leveraging the best practices to design a large data environment that is secure and cost-effective.
原廠講義
Original factory lecture
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| Midterm examMidterm exam Midterm exam |
30 | |
| Final examFinal exam Final exam |
30 | |
| Homework and LABHomework and LAB Homework and LAB |
40 |
