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Opiniones y comentarios de aprendices correspondientes a Introduction to Data Engineering por parte de IBM

4.7
estrellas
55 calificaciones
11 reseña

Acerca del Curso

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....

Principales reseñas

AS
3 de mar. de 2021

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

RC
15 de mar. de 2021

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

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1 - 11 de 11 revisiones para Introduction to Data Engineering

por Govardhan V

17 de abr. de 2021

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.

por Blake G

29 de mar. de 2021

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.

por Anirudh S

4 de mar. de 2021

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

por Robert C

16 de mar. de 2021

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

por Muhammad W U

4 de abr. de 2021

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

por Jeyalakshmi G

17 de feb. de 2021

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

por Alexis C O

7 de abr. de 2021

for introduction I think is a very good course.

por José M H

1 de mar. de 2021

Very good fundamentals for data engineering.

por Fernando M

14 de mar. de 2021

Very complete course!

por Lanny R J

11 de mar. de 2021

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

por Mayank R

10 de mar. de 2021

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.