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Learner Reviews & Feedback for Introduction to Designing Data Lakes on AWS by Amazon Web Services

4.7
stars
221 ratings

About the Course

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....

Top reviews

ST

Feb 7, 2023

The best aws course is taught by two excellent instructors who use relevant examples, demonstrations, graphics, and content that is carefully organized.

VN

Nov 1, 2023

This course gives a foundational knowledge of what you need to know about data lakes, with focus on AWS data lake

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51 - 69 of 69 Reviews for Introduction to Designing Data Lakes on AWS

By Linh V

Aug 2, 2021

good

By PARAS S

Feb 29, 2024

NIL

By TATHAGAT C

Feb 24, 2024

na

By Pranav S

Feb 27, 2024

.

By Chu V A

Jul 23, 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.

By Фёдор А

Mar 5, 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:)

By Henry P

Feb 19, 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.

By Andrzej Z

Jul 3, 2022

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

By Rodrigo O

May 18, 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

By niamiot

Apr 21, 2021

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

By nina g

Jul 11, 2021

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

By Muhammed E B

Jul 12, 2022

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

By João A

Oct 18, 2021

Sadly the lab 2 is outdated, but otherwise the course is great.

By laurent r

Jul 25, 2021

more about ingest and consume data with kinesis and lambda

By Atithi R J

Dec 9, 2021

Good content

By Lerata M

May 18, 2021

good

By Eugene B

Mar 28, 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.

By Jose d J B S

Feb 28, 2021

El acceso al algunos laboratorios fallo y no posible reintentar hacerlos

By AW

Feb 23, 2022

Had a lot of troubles access the labs