Na última parte da série de cursos do Dataflow, vamos abordar os componentes do modelo operacional do Dataflow. Veremos ferramentas e técnicas para solucionar problemas e otimizar o desempenho do pipeline. Depois analisaremos as práticas recomendadas de teste, implantação e confiabilidade para pipelines do Dataflow. Por fim, faremos uma revisão dos modelos, que facilitam o escalonamento dos pipelines do Dataflow para organizações com centenas de usuários. Essas lições garantem que a plataforma de dados seja estável e resiliente a circunstâncias imprevistas.
Serverless Data Processing with Dataflow: Operations em Português Brasileiro
Serverless Data Processing with Dataflow: Operations em Português Brasileiro
This course is part of Serverless Data Processing Dataflow em Português Brasileiro Specialization
Instructor: Google Cloud Training
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Advanced level
Designed for those already in the industry
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Realizar monitoramento, solução de problemas, testes e CI/CD em pipelines do Dataflow
Implantar pipelines do Dataflow com foco na confiabilidade para maximizar a estabilidade da plataforma de processamento de dados
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Assessments
7 assignments
Taught in Portuguese (Brazil)
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This course is part of the Serverless Data Processing Dataflow em Português Brasileiro Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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