PySpark Course
This course provides hands-on experience in building scalable PySpark data pipelines for video analytics, covering schema design, data generation, processing, and optimization techniques.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Master PySpark through a practical course that guides you from designing clean event logs to creating efficient, production-ready pipelines. Learn to establish strong schemas, process large JSON/CSV datasets, create realistic samples, and develop modular workflows for cleaning, enriching, and partitioning. Practice aggregations, sessionization, logging, validation, and tuning spark-submit for dependable, scalable video analytics tasks.
Elevify advantages
Develop skills
- Build robust PySpark pipelines: modular, logged, and production-ready.
- Design video event schemas: clean identifiers, timestamps, and playback metrics.
- Generate realistic big data samples: synthetic logs with edge cases and skew.
- Clean, enrich, and partition PySpark DataFrames for fast analytics at scale.
- Optimize PySpark jobs: sessionization, aggregations, joins, and performance tuning.
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
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 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 FerresAluna de Fotografia
Gosto do conteúdo e do modo de apresentação e transcrição de vídeos, o que acelera o processo!

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 CarloAluno de Engenharia de Prompt
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