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Avis et commentaires pour d'étudiants pour Introduction to Data Engineering par IBM

4.8
étoiles
529 évaluations
120 avis

À propos du cours

This course introduces you to the core concepts, processes, and tools you need to know in order to get a foundational knowledge of data engineering. You will gain an understanding of the modern data ecosystem and the role Data Engineers, Data Scientists, and Data Analysts play in this ecosystem. The Data Engineering Ecosystem includes several different components. It includes disparate data types, formats, and sources of data. Data Pipelines gather data from multiple sources, transform it into analytics-ready data, and make it available to data consumers for analytics and decision-making. Data repositories, such as relational and non-relational databases, data warehouses, data marts, data lakes, and big data stores process and store this data. Data Integration Platforms combine disparate data into a unified view for the data consumers. You will learn about each of these components in this course. You will also learn about Big Data and the use of some of the Big Data processing tools. A typical Data Engineering lifecycle includes architecting data platforms, designing data stores, and gathering, importing, wrangling, querying, and analyzing data. It also includes performance monitoring and finetuning to ensure systems are performing at optimal levels. In this course, you will learn about the data engineering lifecycle. You will also learn about security, governance, and compliance. Data Engineering is recognized as one of the fastest-growing fields today. The career opportunities available in the field and the different paths you can take to enter this field are discussed in the course. The course also includes hands-on labs that guide you to create your IBM Cloud Lite account, provision a database instance, load data into the database instance, and perform some basic querying operations that help you understand your dataset....

Meilleurs avis

OL
12 oct. 2021

I am currently studying Chemical Engineering. However, after going for industry training as a data analyst, I decided to venture more in this direction and I really learn a lot from this course.

AR
25 sept. 2021

I felt the course was the perfect introduction for someone like me that has been on the sales side of most software. I feel that it wasnt ovewhelming at all, and I mostly enjoyed the labs.

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76 - 100 sur 123 Avis pour Introduction to Data Engineering

par Jacó J

20 déc. 2021

Very good introductory course.

par Nelson O

17 août 2021

An excellent introduction.

par Mrutyunjay A

13 août 2021

very useful, and engaging!

par Poonam C S

8 juil. 2021

Great introduction course

par Aikins A

8 janv. 2022

th one of best courses

par Fernanda C M S

9 janv. 2022

Very good for beginners

par UCHE N

16 nov. 2021

very wonderful training

par Fernando M

14 mars 2021

Very complete course!

par Manishankar

18 oct. 2021

More usefull course

par Merihun D

8 nov. 2021

v​ery good course

par Gabriel S

22 août 2021

Fantastic course!

par Amandeep K

1 sept. 2021

wonderful course

par ENUONYE D J

13 août 2021

one of the best

par Abdouraman B D

27 sept. 2021

excelent intro

par Abdelouafi E

4 janv. 2022

Very usefull!

par Piyush I

26 déc. 2021

Great Course

par Anas K

6 sept. 2021

Nice lesson!

par sarika s

31 juil. 2021

good content

par chukka A

18 janv. 2022

excellent

par Isaac Y

18 janv. 2022

Thanks!

par Guilherme C d S B

31 oct. 2021

mt bom

par Emmanuel E D

16 sept. 2021

ood

par Lírick P d R M

2 sept. 2021

ty

par Domenic S

2 nov. 2021

I​ really enjoyed the Introduction to Data Engineering from IBM's Professional Certificate offering. As I continue with my academic pursuits, I will work at building my practical experience in the data science field. I will probably start out as a junior data analyst or programmer and from there, learn as much as I can about databases and data consumers to hopefully gain better insight into database administration.

par Marta L

26 août 2021

Very useful insights into the basics of engineering, just enough to be able to navigate within more technical conversations as a project manager of any IT manager without tangible technical educational/professional background. However some videos were repeating topics several times, which was a bit boring on one side, on the other side helped to memorize the material.