Big Data Algorithms for Engineering Course
This course equips you with advanced big data algorithms for real-time analytics. Delve into streaming architectures, scalable metrics like HyperLogLog and Top-K, event schema design for video data, and techniques to build cost-effective, reliable pipelines. Ideal for powering large-scale video platforms and tech systems with precise, actionable insights through hands-on exercises and real-world patterns.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain expertise in essential big data algorithms and streaming systems through this practical course. Design event schemas, create efficient data ingestion pipelines, and select optimal processing engines for fast analytics. Hands-on practice with Top-K, HyperLogLog, sessionization, and error metrics, plus optimisation strategies for cost, reliability, and performance using practical pseudocode and patterns.
Elevify advantages
Develop skills
- Design robust streaming pipelines for low-latency, reliable data workflows.
- Implement scalable metrics using HLL, Top-K, and session windows for live KPIs.
- Model video events with analytics-focused schemas ensuring quality and evolution.
- Optimise big data expenses through storage, compute, partitioning, and compaction tuning.
- Strengthen pipelines with fault tolerance, testing, monitoring, and anomaly detection.
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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