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Avis et commentaires pour d'étudiants pour ETL and Data Pipelines with Shell, Airflow and Kafka par Réseau de compétences IBM

4.5
étoiles
106 évaluations

À propos du cours

After taking this course, you will be able to describe two different approaches to converting raw data into analytics-ready data. One approach is the Extract, Transform, Load (ETL) process. The other contrasting approach is the Extract, Load, and Transform (ELT) process. ETL processes apply to data warehouses and data marts. ELT processes apply to data lakes, where the data is transformed on demand by the requesting/calling application. Both ETL and ELT extract data from source systems, move the data through the data pipeline, and store the data in destination systems. During this course, you will experience how ELT and ETL processing differ and identify use cases for both. You will identify methods and tools used for extracting the data, merging extracted data either logically or physically, and for importing data into data repositories. You will also define transformations to apply to source data to make the data credible, contextual, and accessible to data users. You will be able to outline some of the multiple methods for loading data into the destination system, verifying data quality, monitoring load failures, and the use of recovery mechanisms in case of failure. Finally, you will complete a shareable final project that enables you to demonstrate the skills you acquired in each module....

Meilleurs avis

DS

13 juin 2022

Excellent introduction to this topics. Labs contain all you need to know how to start using this type of technologies. Highly recommended.

MA

9 juin 2022

Thanks to all the instructor's efforts, one of the best DATA engineering courses, contains hands-on Experience with essential data tools.

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1 - 25 sur 29 Avis pour ETL and Data Pipelines with Shell, Airflow and Kafka

par Nataliya S

12 oct. 2021

Thanks to IBM and Coursera for the great "ETL and Data Pipelines with Shell, Airflow and Kafka" course, that I passed with Grade Achieved: 100%. It's the third course, that I've passed, as a part of "IBM Data Engineering Specialization". I was so carried away by the course that I literally sat up until 2 am almost every day. In this course I could apply my knowledge of Python, Pandas, SQL, Bash commands to build ETL Batch and Stream pipelines.

par Evgeny D

29 sept. 2021

I​t's one of the most challenging courses I've been enrolled!

par Dmitry K

17 sept. 2021

Buggy practice. Not possible to complete without fixing airflow start script yourself. Nobody monitor or fixing issues here

par RLee

13 janv. 2022

The final project to connect Airflow as a pipeline management tool to Kafka server is a very useful hands-on project. More details or explanations on the syntax of Python calling Kafka producer and consumer, which are in the files of toll_traffic_generator.py and streaming_data_reader.py, would be more valuable rather than just providing these two files to run on its own.

par Ilya K

13 janv. 2022

Perfect environment to make experiments! Very easy and powerful in use.

par Omar H

26 janv. 2022

It's great introduction for airflow and kafka but still an introduction it is shallow doesn't offer much but at the end you will understand what you need to continue further in both technologies.

par Chris B

20 avr. 2022

Course content is good but labs are riddled with bugs and in dire need of quality control. I encountered many time-consuming, frustrating technical issues that made completing this course a slog. Final assignment introduces some difficult linux manipulations that were not covered in the coures and are not really that relevant to the subject matter. Some questions on the final are unclear and could be better written. Would recommend the instructors or whomever created this course to eat their own cooking and go through this course and fix the various issues.

par Natale F

15 déc. 2021

Interesting course with enough labs.

par Hugo A O O

6 déc. 2021

i really liked the labs

par Sina S S

7 mai 2022

A good introductory course to airflow and kafka. Could have been broken up into at least two courses focusing on each of these platform, and going more in depth in each one. Also, the final assignment is a pain to complete especially due to some errors in instructions. But overall, It is a decent course.

par YANGYANG C

17 janv. 2022

Love the labs, but do not like the robotic lectures.

par Sreepad P

6 juil. 2022

The course is simply amazing which provides good amount of hands-on sessions to learn about building data pipelines with Shell scripting, Airflow and Kafka. I highly recommend this course to anyone who wants to be a Data Engineer.

par David A S

14 juin 2022

Excellent introduction to this topics. Labs contain all you need to know how to start using this type of technologies. Highly recommended.

par Mohamed A

10 juin 2022

Thanks to all the instructor's efforts, one of the best DATA engineering courses, contains hands-on Experience with essential data tools.

par k b

24 avr. 2022

Nice intro to ETL and Data Pipelines. Beginner level easy to follow hands on Airflow and Kafka.

par Rorisang S

14 mars 2022

Succinctly presented. Labs really hammered the point home :)

par Minh N T

12 avr. 2022

Useful course for beginner Data engineer

par Muhammad T K

9 juil. 2022

A​bsolutely brilliant for starter

par Chris W

3 avr. 2022

A d​ecent overview of Airflow and Kafka. Worth it for the time invested. The labs were good, however the execution of the final assignment was poor -- you have to submit two dozen screen captures for a peer reviewed assignment. Taking screen caps of code is silly, why not just submit the code? Plus you are taking the caps before you even know if your code works. And you are relying on strangers to read and understand your code before you can get credit for the course. Fortunately, some kind soul found mine quickly and gave me 100%. My code did work -- I tested it thoroughly -- but you can't really tell from screen caps.

par Markus Z

28 mars 2022

G​ood compact summary of the topics.

R​egarding the assignment: Good to have an environment for testing your code directly. Unfortunatly it was a bit unstable. Final assignment was a bit to much screenshots and lesser coding.

par Katarzyna G

26 mars 2022

I​t would be much better with real instructors and with no peer review that is not objecitve and no proper ansers clue

par David R

4 juin 2022

Good introduction to Airflow and Kafka however only one airflow operator is explored

par otto z

22 juin 2022

It takes 1 hour to connect the lab and start the service.

par Mbaye B

14 mai 2022

i​nteresting

par Krishnakumar K

12 avr. 2022

good