sikvorishn

excellent

Very good

Brutal.

thanks

pzdes

good

good

good

NIL

na

.

If you are working with data in one of various roles such as business analyst, data analyst, data scientist and you are completely new to cloud technology, this is the course for you.

It provides an overview of AWS's most popular services and explain what problems the services are designed to solve (i.e. the reasons for adopting data lake).

Specifically, the instructors briefly walk you through different parts of designing data lakes: data ingestion (Kinnesis Family, AppFlow, API Gateway, Snow Family, Data Exchange), data storage (S3), data catalog (Glue Crawler, Glue Data Catalog), data processing (Glue Job, Lambda, EMR), data visualization and exploration (Kibana), machine learning (SageMaker).

After the course, you'll have a roadmap to dive into your interested topics.

One of the lab is buggy and content is a little bit superficial. But if treating the course as a light entertainment + little education it's learning pace is quite good. Although instructors are cool and make getting knowledge easy. I'm satisfied overall but will not reccomend it for people who already use AWS in everyday routine because content is really introductary:)

I Loved it, just that is only a beginner course, I would like to have more courses like this one, so we can keep up with AWS and data lakes.

Missing Lab's during the course, unfortunately, from start to finish, none of the Labs could be started

The system didn't allow me to work on the labs for weeks 3 and 4.

I tried it in 2 computers and no luck

Nice course for beginners. It allows to familiarize with AWS components and datalake fundamentals.

Very good class. Except the problem in Lab2 of week 3. Author should fix it!

It is a good one. However, I had some problems accessing the exercises...

Sadly the lab 2 is outdated, but otherwise the course is great.

more about ingest and consume data with kinesis and lambda

Good content

Excellent

good