Learn AWS Data Engineering

ETL & BI on AWS Cloud

3.65 (79 reviews)
Udemy
platform
English
language
Other
category
instructor
Learn AWS Data Engineering
300
students
1.5 hours
content
Dec 2020
last update
$34.99
regular price

What you will learn

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

Why take this course?

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

Content

Topics of Contents

Introduction
Serverless Datawarehousing
Ingest data from a Rest Api
Ingest data into a SQL database (Postgre SQL)
Incremental data Loading
Ingest data from a SFTP server

Reviews

Mariano
October 20, 2023
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.
Aleksey
August 26, 2023
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.
Kaustuv
July 13, 2023
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.
Laxman
June 22, 2022
good as of now, could have explain how we can navigate S3 bucket, I feel it went directly to S3 screen
Subhajit
May 20, 2022
What I feel about the course, its covered on a very very high level information. Most of things are created already(No info from scratch). The detail design for a data pipeline is completely missing hence ends up with lots of confusion
Reuben
January 9, 2022
in the demo only 1-1 load is shown. One detailed scenario might have been helpful. There was no mention about scheduler and how to integrate with versioning tools.
Vinit
May 30, 2021
This course is rather poor. Course material should cover the pre-requisites of allowing Glue to connect to VPC using S3 endpoints if relevant. If this is not required then ensure that the materials also covers this thoroughly. The requirements were rather patchy and considering that there is other material available on youtube, I was only able to follow the course material properly after seeing the youtube videos.
Shabnam
March 8, 2021
I was hoping I would be able to follow along and do the demos myself. I am trying to learn more about how I can utilize AWS for data engineering. I looked around but didn't see any of the files that he uploaded in his lecture. I thought I might be able to do the API call to json but then got stumped with how to create the initial json file. It would have been helpful if I had my own data to utilize, but since I was just trying to gain the knowledge on my own, the most I could do was watch the video and look at the paths inside the AWS console.
Richard
October 5, 2020
Shocked!! The entire course is 55 mins. Not what I expected at all. This is purely for someone who already knows what he is doing, and can follow along. Certainly not for anyone looking to "learn" AWS data engineering. Just 6 specific activities that don't give you any background as to why you are doing what you are doing. This is not akin to real world project situation. Not happy.. :-(

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Related Topics

3457500
udemy ID
8/29/2020
course created date
9/12/2020
course indexed date
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