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Building Efficient Data Pipelines Course

Building Efficient Data Pipelines Course
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

This course teaches how to design strong data ingestion, ELT, and ETL workflows, select appropriate orchestrators and warehouses, and handle CDC, JSON logs, and API extractions reliably. You will master strategies for monitoring, ensuring data quality, managing schema changes, controlling costs, and responding to incidents, keeping analytics metrics like DAU, MRR, churn, and cohorts accurate and timely.

Elevify advantages

Develop skills

  • Design robust ELT/ETL flows from raw ingestion to trusted analytics marts.
  • Implement reliable CDC, API, and log ingestion pipelines with idempotent extracts.
  • Orchestrate data workflows using Airflow, Dagster, or Prefect for high uptime.
  • Monitor pipelines with SLAs, alerts, and data quality checks for quick incident response.
  • Optimise warehouse costs and performance through smart partitioning and scaling.

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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