Are you ready to dive into the world of data engineering? You’ll need a solid understanding of how data is stored, processed, and accessed. You’ll need to identify the different types of database that are appropriate for the kind of data you are working with and what processing the data requires.
This course is part of the Data Engineering Foundations Specialization
Offered By

About this Course
Computer and IT literacy. Curiosity about how data is managed.
What you will learn
Fundamental Relational Database Design concepts.
Design a relational database architecture.
Work hands-on with Relational Databases such MySQL, PostgreSQL and Db2.
Create tables and load data.
Skills you will gain
Computer and IT literacy. Curiosity about how data is managed.
Offered by

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.
Syllabus - What you will learn from this course
Relational Database Concepts
Data sources are all around. Discover how you can transform information like facts, perceptions, and numbers into meaningful real-world datasets.
Using Relational Databases
About the Data Engineering Foundations Specialization
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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