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Advanced Data Engineering
In this advanced course, you will gain practical expertise in scaling data engineering systems using cutting-edge tools and techniques. This course is designed for data scientists, data engineers, and anyone with a foundational understanding of data handling who desires to escalate their skills to handle larger, more complex datasets efficiently.
Throughout the course, you'll master the application of technologies such as Celery with RabbitMQ for scalable data consumption, Apache Airflow for optimized workflow management, and Vector and Graph databases for robust data management at scale.
The course will culminate with hands-on projects that offer real-world experience, where you'll put your acquired skills to test in solving data engineering challenges. You will not only learn to create scalable data systems but also to analyze their performance and make necessary adjustments for optimum results.
This invaluable experience in advanced data engineering techniques will prepare you for the demanding tasks of handling massive datasets, streamlining complex workflows, and optimizing data operations for businesses of any scale.
Duration
7 Months
Institution
Duke University
Format
Online
Eligibility Criteria
school
Academic Foundation
A recognized Bachelor’s degree or high school equivalent required for admission into Duke University.
language
Language Proficiency
English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.
Detailed Fees Breakdown
Base Tuition Fee
$70
Total Est. Investment
$70
Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.
Academic Trajectory
Program Outcome
Graduates of the Advanced Data Engineering program at Duke University are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.