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學生對 亚马逊网络服务系统 提供的 Introduction to Designing Data Lakes on AWS 的評價和反饋

108 個評分


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....




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



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


26 - Introduction to Designing Data Lakes on AWS 的 42 個評論(共 42 個)

創建者 Chu V A


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.

創建者 Фёдор А


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:)

創建者 Henry P


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.

創建者 Andrzej Z


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

創建者 Rodrigo O


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

創建者 niamiot


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

創建者 nina g


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

創建者 Muhammed E B


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

創建者 João A


Sadly the lab 2 is outdated, but otherwise the course is great.

創建者 laurent r


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

創建者 Atithi R J


Good content

創建者 Lerata M



創建者 Eugene B


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.

創建者 Jose d J B S


El acceso al algunos laboratorios fallo y no posible reintentar hacerlos

創建者 Sam C


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

創建者 AW


Had a lot of troubles access the labs

創建者 Saiharshavardhan T


labs are not accessible.