Big Data Algorithms for Engineering Course
Gain expertise in big data algorithms for real-time analytics. Master streaming architectures, scalable metrics like HyperLogLog and Top-K, event schema design for video platforms, and strategies to optimise costs, reliability, and performance in large-scale systems for precise insights.

4 to 360 hours of flexible workload
certificate valid in your country
What Will I Learn?
Acquire essential big data algorithms and streaming setups in this practical course. Design event schemas, create scalable data ingestion pipelines, select optimal processing engines for fast analytics, and apply techniques like Top-K, HyperLogLog, sessionization, and error tracking. Optimise for cost, dependability, and speed using practical pseudocode and patterns.
Elevify Advantages
Develop Skills
- Design streaming data pipelines for low-latency, reliable workflows.
- Implement scalable metrics using HLL, Top-K, and session windows.
- Model video events with analytics-focused schemas and quality controls.
- Optimise big data costs through storage, compute, and partitioning tuning.
- Strengthen pipelines with fault tolerance, testing, and monitoring.
Suggested Summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.

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The platform is fast and easy to use. The variety of content and the supplementary videos really help with learning.

Giulio CarloPrompt Engineering Student
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