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Design and Build Big Data Systems
Next start date:
In today’s job market, big data is hot — and so are data engineers, the professionals who have the knowledge and skills to tame it. Organizations have a growing need for specialists who know how to design and build platforms that can handle the gigantic amount of data available today.
In this three-course certificate program, we’ll explore distributed computing and the practical tools used to store and process data before it can be analyzed. You’ll work with typical data stacks and gain experience with the kinds of data flow situations commonly used to inform key business decisions. Complete this program and engineer your career in the world of big data technologies.
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Professionals with programming and system administration experience who are looking to expand their careers into big data.
Applicants must have:
We also recommend that you have:
If you're not a native English speaker, you’ll need to have at least basic English language skills to enroll. To learn more, see English Language Proficiency Requirements.
Because this offering is 100 percent online, no visa is required and international students are welcome to apply. For more information, see Admission Requirements for International Students.
Classroom students will need:
Online students will need:
You earn the certificate by adhering to the program's attendance policy and successfully completing all required courses. For more information, see Earning the Certificate.
Instructor David Patton of the Certificate in Big Data Technologies discusses the program and the high demand for professionals with these kinds of skills and knowledge.
Complete the courses listed below to earn the certificate. You may be able to take individual courses without enrolling in the certificate program; check the course pages for details.
Introduction to Data Engineering
Building the Data Pipeline
Emerging Technologies in Big Data
Certificate in Big Data Technologies
Approved by the UW Paul G. Allen School of Computer Science & Engineering.
View this program's advisory board.
Each of our programs uses an advisory board to review content, guide design and recommend updates to ensure the program remains current as the field of study evolves. By tapping the minds of the top thinkers, doers and leaders in the field, we offer a transformational learning experience. The following individuals serve as the advisory board for this program.
Lyman Do, Distinguished Architect, HERE Technologies
Rob Jasper, Chief Scientist, Analysis in Motion, Pacific Northwest National Laboratory
Ashley Kim, Program Manager, International & Academic Programs, UW Continuum College
Denny Lee, Developer Advocate, Databricks
Dev Nambi, Data Engineer, Fred Hutchinson Cancer Research Center
David Patton, Director of Sales Engineering and Professional Services, InfluxData
Vikas Ranjan, Principal Architect, Engineering Intelligence & Analytics, T-Mobile
Darwin Schweitzer, Big Data/AI Advanced Workload Lead, Microsoft
Mark Staveley, Director of Product Management, Cray Inc.
Spencer McGhin, a graduate of the Certificates in Python Programming and Big Data Technologies, explains how the certificate programs gave him the professional boost he needed in an emerging field.
Combine the convenience of online learning with the immediacy of real-time interaction. You’ll stream courses online and interact with your instructors and fellow students via chat, web conferencing or phone, all in real time. Learn More »
Data Integration and Predictive Analytics Fellow, Foster America
Software Engineer, Pivotal
If you’re thinking about heading back to school, you’re probably also wondering how you’ll pay for it. To help you figure that out, we’ve put together a list of ways to help fund your education.
Your company can help pay for that career-boosting certificate or degree program — if you know how to ask. Find out how to best position yourself for educational assistance.
Data engineers are the "high-tech plumbers" of the data world. They design, build and maintain the invisible infrastructure that gets people the data they need, when they need it.
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