Stream & Optimize Real-Time Data Flows
Stream & Optimize Real-Time Data Flows
This course is part of Real-Time, Real Fast: Kafka & Spark for Data Engineers Specialization
Instructors: Starweaver
Access provided by University of Virginia
Intermediate level
Recommended experience
Flexible schedule
Learn at your own pace
What you'll learn
Evaluate log configurations to recommend tiered storage, retention policies, and access controls.
Design stream processing topologies that implement join patterns, aggregation windows, and state management for real-time data transformation.
Optimize real-time data flows by analyzing throughput bottlenecks, partition strategies, and resource allocation to meet SLAs within budget limits.
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the Real-Time, Real Fast: Kafka & Spark for Data Engineers Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
