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Big Data Algorithms for Engineering Course

Big Data Algorithms for Engineering Course
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 scalable data ingestion pipelines, and select optimal processing engines for fast analytics. Hands-on practice with Top-K, HyperLogLog, sessionization, and error metrics, plus tips to optimise cost, reliability, and performance using real-world pseudocode and patterns.

Elevify advantages

Develop skills

  • Design efficient streaming data pipelines for low-latency, reliable workflows.
  • Implement scalable metrics using HLL, Top-K, and session windows for live KPIs.
  • Model video events with analytics-focused schemas that ensure quality and evolution.
  • Optimise big data expenses by tuning storage, compute, partitioning, and compaction.
  • Strengthen pipelines with fault tolerance, testing, monitoring, and anomaly detection.

Suggested summary

Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

As suas aulas são perfeitas. Adquiri o pacote de um ano e, finalmente, tenho a oportunidade de acompanhar diversos temas do meu interesse sem precisar mudar de plataforma... agradeço por tudo o que fazem, já recomendei vocês a outras pessoas...
Giulio Carlo
Giulio CarloAluno de Marketing Digital
Eu gosto de como as lições são direto ao ponto e como eu consigo alterar capítulos e pular conteúdos que não preciso.
Mariana Ferres
Mariana FerresAluna de Fotografia
Gosto do conteúdo e do modo de apresentação e transcrição de vídeos, o que acelera o processo!
Luciana Alvarenga
Luciana AlvarengaAluna de Design de Unhas
A plataforma é rápida, simples de usar. A diversidade de conteúdo e os vídeos complementares ajudam muito no aprendizado.
Giulio Carlo
Giulio CarloAluno de Engenharia de Prompt

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