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.
Об этом курсе
IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.
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Лучшие отзывы о курсе INTRODUCTION TO DATA ENGINEERING
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.
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!
I thought it would cover more technical things, but otherwise it was a great course and gave me vast knowledge about data engineering.
Very informative and well structured course. I recommend this course for every person who aspires to become a Data Engineer :)
Специализация Data Engineering Foundations: общие сведения
Data engineering is one of the fastest-growing tech occupations, where the demand for skilled data engineers far outweighs the supply. The goal of data engineering is to make quality data available for fact-finding and data-driven decision making. This Specialization from IBM will help anyone interested in pursuing a career in data engineering by teaching fundamental skills to get started in this field. No prior data engineering experience is required to succeed in this Specialization.
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