課程資料
報名日期
全年招生
課程級別
學習模式
修業期
1 小時 21 分鐘
教學語言
英語
授課導師
Tushar Bhalla
評分
1次瀏覽
課程簡介
ETL & BI on AWS Cloud
A hands on course that covers majority of the typical data engineering / ETL scenarios.
In this course you will learn:
Different services and concepts of AWS data engineering
Creating serverless data lake using S3, Glue and Athena
Ingesting data using Rest Api
Ingesting data using Sftp server
Ingesting data into Database (AWS RDS - Postgre SQL)
Incremental data loading
Prerequisites:
An active AWS account
Python / SQL knowledge
課程章節
- 3 個章節
- 14 堂課
- 第 1 章 Introduction
- 第 2 章 Data Engineering Services
- 第 3 章 Live Demos
課程內容
- Data engineering concepts and AWS services, Fetching data from external Rest Api, Fetching data from SFTP server, Ingesting data into a Database, Creating Serverless Data Lake using S3 and Athena, Creating Glue ETL jobs and Workflows, Transforming data into Parquet format, Learn how to store data in S3 Data lakes using Parquet columnar file formats
此課程所涵蓋的技能
評價
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MMohan Raj
This course is good for beginners
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MMariano Lo Cane
Hay espacios que no llena como crear conectores. Asimismo la version de AWS con la que trabaja ya es muy diferente al dia de hoy.
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AAleksey Fedotenko
The course touches upon the foundational aspects of AWS Glue with a brief overview of other Data Engineering related AWS services. The course has some demos but quite sadly it lacks the resource files needed to follow the instructions and fulfill all the steps yourself. It's rather good to get an overall understanding of what AWS Glue is. And it could be much better if those missing resource files were shared in some GitHub repo to make it a genuine "follow-me" tutorial.
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KKaustuv Majumder
1. Most of the details have been skipped. 2. Every resource was already created beforehand. The instructor should actually perform the operation during the demo. 3. Oversimplified use cases. No real business scenario.
