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Отзывы учащихся о курсе Introduction to Data Engineering от партнера IBM

4.7
звезд
Оценки: 117
Рецензии: 21

О курсе

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....

Лучшие рецензии

PT
4 июня 2021 г.

This is a really nice course. The material is really good and there are videos of professional talking about their own experience. I learn a lot!

AS
3 мар. 2021 г.

Very informative and well structured course. I recommend this course for every person who aspires to become a Data Engineer :)

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1–23 из 23 отзывов о курсе Introduction to Data Engineering

автор: Lanny R J

11 мар. 2021 г.

This course was very easy to follow and learn. The pace was just right and the material was very helpful.

автор: Saúl L

16 июня 2021 г.

Although, It's an introductory curse, the concepts to provides are pretty helpful to know all the data ecosystem, specially the different positions around Data Science. I love the concept to show at the beginning, something like that: "Data Engineer is in charge of the data quality"

Also, involves security, governance and regulatory constrictions. That's why it so demanding about knowledge in tech, methodologies and math.

автор: Govardhan V

17 апр. 2021 г.

Course is awesome to understand who are already working or who wish to jumpstart their career path in Data Engineering domain to make their decision about 1) which data repository should they used, 2) what kind of data store should be , 3) how to select the their production databased based on their need. Systematic, clean, neat and step by step approach make us easy to learn and remember key artifacts too.

автор: Blake G

29 мар. 2021 г.

I'm transitioning into a tech career and have found this course helpful. Part of me wants to jump ahead to the other courses in the specialization but I have been learning more about the basics which is good. I'm also only on week 2 so I would imagine the knowledge gets more in-depth in the following "weeks"

I finished this class in one week and I am excited to dive into the python courses.

автор: Paola C T

5 июня 2021 г.

This is a really nice course. The material is really good and there are videos of professional talking about their own experience. I learn a lot!

автор: Anirudh S

4 мар. 2021 г.

Very informative and well structured course. I recommend this course for every person who aspires to become a Data Engineer :)

автор: ahmed m m

5 июня 2021 г.

Thanks for helping me to learn this course it is very easy to understand the instructors and study this course

автор: Robert C

16 мар. 2021 г.

Great introduction to the exciting field and discipline. Can't wait to continue the journey.

автор: Muhammad W U

4 апр. 2021 г.

It was a good course. learned some basics about the Data Engineering life cycle

автор: Jeyalakshmi G

17 февр. 2021 г.

Details are consolidated at high level. Excellent Source. Awesome learning

автор: Abhishek K

20 июня 2021 г.

wonderful course and a very good insights given by the expertise

автор: Stephanie P

18 июля 2021 г.

​Very informational and provided a solid foundation knowledge

автор: Alexis C O

7 апр. 2021 г.

for introduction I think is a very good course.

автор: José M H

1 мар. 2021 г.

Very good fundamentals for data engineering.

автор: Poonam C S

8 июля 2021 г.

Great introduction course

автор: Fernando M

14 мар. 2021 г.

Very complete course!

автор: sarika s

31 июля 2021 г.

good content

автор: Lírick P

7 июля 2021 г.

ty

автор: fateme t

9 мая 2021 г.

I think more hands on experience is required. And the course was pretty short. But the fact that they repeated things several times was very helpful to stick into mind.

автор: Vedant B

19 июля 2021 г.

I thought it would cover more technical things, but otherwise it was a great course and gave me vast knowledge about data engineering.

автор: Jorge C

11 июля 2021 г.

It's a good introduction material, you can't expect nothing more in a introduction course.

автор: Nadia A H P

11 июля 2021 г.

Amazing

автор: Mayank R

10 мар. 2021 г.

A lot of content and time is about Data Engineering careers, etc. including quiz questions. These are good to know as a FYI but I don't think it should be included in course quizzes.