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Comentários e feedback de alunos de Introduction to Designing Data Lakes on AWS da instituição Amazon Web Services

108 classificações

Sobre o curso

In this class, Introduction to Designing Data Lakes on AWS, we will help you understand how to create and operate a data lake in a secure and scalable way, without previous knowledge of data science! Starting with the "WHY" you may want a data lake, we will look at the Data-Lake value proposition, characteristics and components. Designing a data lake is challenging because of the scale and growth of data. Developers need to understand best practices to avoid common mistakes that could be hard to rectify. In this course we will cover the foundations of what a Data Lake is, how to ingest and organize data into the Data Lake, and dive into the data processing that can be done to optimize performance and costs when consuming the data at scale. This course is for professionals (Architects, System Administrators and DevOps) who need to design and build an architecture for secure and scalable Data Lake components. Students will learn about the use cases for a Data Lake and, contrast that with a traditional infrastructure of servers and storage....

Melhores avaliações


11 de fev de 2021

A very good first introductory course to data lakes and how to implement them using AWS services.


22 de mar de 2022

Exactly beneficial for those who are seeking to understand the basics of data analytics services

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26 — 43 de 43 Avaliações para o Introduction to Designing Data Lakes on AWS

por Vũ A L

2 de ago de 2021


por Chu V A

23 de jul de 2022

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.

por Фёдор А

5 de mar de 2021

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:)

por Henry P

19 de fev de 2021

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.

por Andrzej Z

3 de jul de 2022

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

por Rodrigo O

18 de mai de 2021

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

por niamiot

21 de abr de 2021

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

por nina g

11 de jul de 2021

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

por Muhammed E B

12 de jul de 2022

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

por João A

18 de out de 2021

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

por laurent r

25 de jul de 2021

m​ore about ingest and consume data with kinesis and lambda

por Atithi R J

9 de dez de 2021

Good content

por Lerata M

18 de mai de 2021


por Eugene B

28 de mar de 2022

Good content, but the delivery could be better. The course is old (Sep 2020) and needs updating, since AWS changes some services (e.g. Elastic Search is now OpenSearch). Not worth the price.

Videos with screen shots and sequwnce of steps are useful; videos with 'talking heads" and generic statements are not useful . Sections can be improved with more motivated examples.

The discussion forums were useless -- the instructors did not respond to questiuons and requests for help. Also, three labs werre planned but only one was published and accessible.

por Jose d J B S

28 de fev de 2021

El acceso al algunos laboratorios fallo y no posible reintentar hacerlos

por Sam C

7 de jun de 2022

L​abs were not working but the content was good.

por AW

23 de fev de 2022

Had a lot of troubles access the labs

por Saiharshavardhan T

29 de abr de 2022

labs are not accessible.