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Introduction to Data Engineering(으)로 돌아가기

IBM의 Introduction to Data Engineering 학습자 리뷰 및 피드백

390개의 평가
90개의 리뷰

강좌 소개

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....

최상위 리뷰

2021년 10월 12일

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.

2021년 9월 25일

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.

필터링 기준:

Introduction to Data Engineering의 94개 리뷰 중 1~25

교육 기관: Saúl L

2021년 6월 16일

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.

교육 기관: Lanny R J

2021년 3월 11일

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

교육 기관: Govardhan V

2021년 4월 17일

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.

교육 기관: Blake G

2021년 3월 29일

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.

교육 기관: Jide

2021년 9월 19일

Without mincing words, this course was supported with a simple but detailed, easy-to-understand explanation of concepts and laid the proper introduction to Data Engineering. The real-life examples/scenarios from the instructors were good! The journey is worth it, no turning back! Thank you.

교육 기관: Thanh-Long N

2021년 10월 18일

I​t's a very good introduction course about data engineering as it covers well all basic aspects and perspectives of the domain. The presentations are good though not very rich materials. It would be much better if there were more hands-on exercises (the existing ones are too basic)

교육 기관: Estifanos B M

2021년 10월 28일

A simple yet a foundational introduction to Data and how you can maipulate it. I would say anyone with the interest of pursuing data related career takes this course as it explains the basic surrounding of data.

교육 기관: ONG H L / U

2021년 10월 12일

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.

교육 기관: Albert R

2021년 9월 26일

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.

교육 기관: Dan F

2021년 10월 20일

T​his course was well made and informative. I went in knowing little about data engineering and now I have a much better understanding of what data engineering is all about.

교육 기관: Hà N H T

2021년 8월 1일

Rất tốt. Cảm ơn banh đã tạo ra khóa học này. Nó giúp tôi hiểu được một số khái niệm của nghành data engineer cũng như nghe lời khuyên của các chuyên gia rất thiết thực.

교육 기관: Amin U

2021년 10월 18일

Very thoughtful and insightful course, great content. Thanks IBM and Team for sharing your wisdom. And Coursera is amazing to make learning integrity secured.

교육 기관: Jefferson C

2021년 10월 11일

Curso que possibilita uma sólida base de conhecimento sobre engenharia de dados, muito valioso os pontos de vista dos profissionais que atuam na área.

교육 기관: Roxanne E B

2021년 10월 13일

This course was so much fun to take. It gives a good overview about what data engineering is and the different paths that one can have in this field.

교육 기관: Paola C T

2021년 6월 5일

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!

교육 기관: Vũ L

2021년 11월 11일

T​his help me clearly mind map to be become Data Engineering. Make me more understand than about some tools, technique in data specilist

교육 기관: Patrick H

2021년 9월 6일

Very good background material for becoming a Data Engineer. It provides some of the things Data Engineers do and what they should know.

교육 기관: Anirudh S

2021년 3월 4일

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

교육 기관: Umar Q

2021년 10월 10일

Gave a great overview of the field and clearly defined the role and differences between Data Science, Analysts and engineers.

교육 기관: Yinghao Z

2021년 9월 11일

A really good introduction to the data engineering area covering every necessary details needed. More hands-on labs expected.

교육 기관: Kỳ N Đ

2021년 8월 29일

This is a nice course. It is infomative and helpful. Help me understand general concepts of data engineering. Thanks so much!

교육 기관: Goutham K

2021년 8월 16일

T​his is a great introductory course. Grateful to IBM, Coursera and everyone involved in delivering this valuable curriculum.

교육 기관: Muhammad U N

2021년 11월 18일

G​eat content for introduction level courses. This course provided great introduction to the field of Data Engineering.

교육 기관: Nasim H

2021년 8월 9일

This Course Has Nice, Concise and Organized Contents Dealing with the Pragmatic Experiences of the Real World.

교육 기관: ahmed m m

2021년 6월 5일

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