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Learner Reviews & Feedback for Introduction to Data Engineering by IBM

4.7

stars

3,505 ratings

About the Course

Start your journey in one of the fastest growing professions today with this beginner-friendly Data Engineering course! You will be introduced to the core concepts, processes, and tools you need to know in order to get a foundational knowledge of data engineering. as well as the roles that Data Engineers, Data Scientists, and Data Analysts play in the ecosystem. You will begin this course by understanding what is data engineering as well as the roles that Data Engineers, Data Scientists, and Data Analysts play in this exciting field. Next you will learn about the data engineering ecosystem, the different types of data structures, file formats, sources of data, and the languages data professionals use in their day-to-day tasks. You will become familiar with the components of a data platform and gain an understanding of several different types of data repositories such as Relational (RDBMS) and NoSQL databases, Data Warehouses, Data Marts, Data Lakes and Data Lakehouses. You’ll then learn about Big Data processing tools like Apache Hadoop and Spark. You will also become familiar with ETL, ELT, Data Pipelines and Data Integration. This course provides you with an understanding of a typical Data Engineering lifecycle which includes architecting data platforms, designing data stores, and gathering, importing, wrangling, querying, and analyzing data. You will also learn about security, governance, and compliance. You will learn about career opportunities in the field of Data Engineering and the different paths that you can take for getting skilled as a Data Engineer. You will hear from several experienced Data Engineers, sharing their insights and advice. By the end of this course, you will also have completed several hands-on labs and worked with a relational database, loaded data into the database, and performed some basic querying operations....

Top reviews

Apr 7, 2024

Very good introduction to Data Engineering. Not too technical, but a very good foundation of both technical concepts and soft skills required in becoming a successful data engineer.

Sep 25, 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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676 - 700 of 740 Reviews for Introduction to Data Engineering

By S V

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Feb 13, 2022

More theoretic, less practice

By Muhammad S

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May 29, 2023

Interesting and informative

By Ziad A

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Oct 24, 2022

Great Introduction Course

By Kouakou B K

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May 7, 2023

Educational for bigenners

By Manuel G C

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Jan 13, 2022

Good introduction course

By Bharath T

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Nov 26, 2024

good for me as a begin.

By leon m

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Jun 22, 2024

i recommend this course

By Ricardo D R A

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Dec 27, 2024

Muy bueno y entendible

By Akinbuluma T

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Aug 17, 2023

Nice and informative

By kamsii o

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Sep 23, 2023

Very Comprehensive

By Lamine F

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May 14, 2025

bonne instruction

By Hopeton M

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Oct 25, 2021

loved the course

By Sheraz M

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Aug 13, 2021

Informative

By Hanifi L M

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Jan 27, 2025

Nice course

By NISCHAL A

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Jan 25, 2025

good course

By Paitoon p

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Apr 9, 2023

Good course

By Garrick B N

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Jun 2, 2023

very good

By Pedro Q

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Apr 28, 2022

Exelente

By Nadia A H P

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Jul 11, 2021

Amazing

By khalil d

•

Oct 22, 2024

good

By Mustafa S d A

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Aug 22, 2024

bien

By kartikey m

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Jul 3, 2024

best

By Shubham G

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Nov 25, 2023

Nice

By 21O18 K F

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Jul 13, 2023

Good

By Peter S

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Feb 2, 2025

The course itself is a very good intro to terms and the data engineering world, but the optional Db2-Lite offering costs me 3 days of troubleshooting and still isn't working. I can provision a DB but cannot access the UI. I am given an error code HWCCON0104E where I cannot find more info and IBM is not willing to support because it is a free account. This means for each section I cannot complete the optional trainings which I was really excited to do. I am considering to give up on the IBM class and move to Google because of this.