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.
Ce cours fait partie de la Spécialisation Data Engineering Foundations
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Anglais
Sous-titres : Anglais
Compétences que vous acquerrez
Data ScienceDatabase (DBMS)NoSQLSQL
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 1 sur 5 dans le
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Niveau débutant
Approx. 10 heures pour terminer
Anglais
Sous-titres : Anglais
Offert par
IBM
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.
Programme du cours : ce que vous apprendrez dans ce cours
2 heures pour terminer
What is Data Engineering?
In this module, you will learn about the different entities that come together to form a modern data ecosystem and the role Data Engineers, Data Scientists, Data Analysts, Business Analysts, and Business Intelligence Analysts play in this ecosystem. You will learn what data engineering is and the key tasks in a data engineering lifecycle. You will also gain an understanding of the responsibilities of a data engineer, the skillsets they need in order to be successful, and what a typical day in the life of a data engineer looks like. At the end of the module, you will be guided to create a Lite account on IBM Cloud.
2 heures pour terminer
9 vidéos (Total 46 min), 2 lectures, 4 quiz
3 heures pour terminer
The Data Engineering Ecosystem
In this module, 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 gain an understanding of several different types of data repositories such as relational and non-relational databases, data warehouses, data marts, and data lakes. You will learn about ETL and ELT processes, data pipelines, and data integration platforms. You will also gain an understanding of what big data is, and the tools used for processing and storing big data. During the course of this module, you will be guided to provision an instance of IBM Db2 using the Cloud Lite account you created in the previous module.
3 heures pour terminer
17 vidéos (Total 104 min), 3 lectures, 6 quiz
3 heures pour terminer
Data Engineering Lifecycle
In this module, we will walk you through the data engineering lifecycle. You will learn about the architecture of a data platform, factors for selecting and designing data stores, and the different facets of security as it applies to data platforms and data lifecycle management. You will also learn about the process, steps, and tools used for gathering, importing, wrangling, and querying data. You will gain an understanding of performance monitoring and the steps you can take to troubleshoot performance issues. We will also talk about governance regulations, why we need them, and how technology enables compliance to regulations. During the course of this module, you will be guided to load data from a CSV file into the IBM Db2 instance you created in the previous module. You will also be guided to explore your dataset using some basic SQL queries that will be provided to you.
3 heures pour terminer
10 vidéos (Total 64 min), 5 lectures, 8 quiz
2 heures pour terminer
Career Opportunities and Data Engineering in Action
In this module, 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. At the end of the module, you will be presented with the final graded assignment which is divided into two parts. The first part of the final assignment includes a couple of quiz questions and the second part includes open-ended questions that will be reviewed and graded by a peer.
2 heures pour terminer
6 vidéos (Total 36 min), 2 lectures, 4 quiz
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Meilleurs avis pour INTRODUCTION TO DATA ENGINEERING
par AS3 mars 2021
Very informative and well structured course. I recommend this course for every person who aspires to become a Data Engineer :)
par LJ10 mars 2021
This course was very easy to follow and learn. The pace was just right and the material was very helpful.
par RC15 mars 2021
Great introduction to the exciting field and discipline. Can't wait to continue the journey.
par MU3 avr. 2021
It was a good course. learned some basics about the Data Engineering life cycle
À propos du Spécialisation Data Engineering Foundations
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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