Building Resilient Streaming Analytics Systems on GCP en EspaƱol

  • 0.0
Approx. 12 hours to complete

Course Summary

Learn how to design, build, and deploy real-time streaming analytics systems on Google Cloud Platform (GCP) using Pub/Sub, Dataflow, and BigQuery.

Key Learning Points

  • Understand the basics of streaming data and its importance in real-time decision making
  • Learn how to use Google Cloud Platform tools to build streaming analytics systems
  • Gain hands-on experience with real-world use cases and practical examples

Related Topics for further study


Learning Outcomes

  • Design and build real-time streaming analytics systems using Google Cloud Platform tools
  • Implement data processing and analysis pipelines using Pub/Sub, Dataflow, and BigQuery
  • Understand the importance of streaming data in real-time decision making

Prerequisites or good to have knowledge before taking this course

  • Basic understanding of data analytics and processing
  • Familiarity with cloud computing concepts

Course Difficulty Level

Intermediate

Course Format

  • Self-paced online course
  • Video lectures and demonstrations
  • Hands-on exercises and quizzes

Similar Courses

  • Real-Time Analytics with Apache Kafka
  • Data Engineering, Big Data, and Machine Learning on GCP

Related Education Paths


Notable People in This Field

  • Karthik Ranganathan
  • Tim Berglund
  • Nicki Watt

Related Books

Description

*Nota: Este es un curso nuevo con contenido actualizado diferente de la versiĆ³n anterior de esta especializaciĆ³n.

Outline

  • IntroducciĆ³n
  • IntroducciĆ³n al curso
  • CĆ³mo comenzar a usar GoogleĀ CloudĀ Platform y Qwiklabs
  • IntroducciĆ³n al procesamiento de datos de transmisiĆ³n
  • CĆ³mo procesar datos de transmisiĆ³n
  • IntroducciĆ³n al procesamiento de datos de transmisiĆ³n
  • MensajerĆ­a sin servidores con Cloud Pub/Sub
  • IntroducciĆ³n a CloudĀ Pub/Sub
  • ComparaciĆ³n entre envĆ­o y extracciĆ³n en CloudĀ Pub/Sub
  • CĆ³mo publicar con el cĆ³digo de Pub/Sub
  • Resumen
  • IntroducciĆ³n al lab: CĆ³mo publicar datos de transmisiĆ³n en Pub/Sub
  • SoluciĆ³n del lab: Publique datos de transmisiĆ³n en Pub/Sub
  • MensajerĆ­a sin servidores con Cloud Pub/Sub
  • Funciones de transmisiĆ³n de Cloud Dataflow
  • DesafĆ­os de los datos de transmisiĆ³n
  • Sistema de ventanas de CloudĀ Dataflow
  • IntroducciĆ³n al lab: Canalizaciones de datos de transmisiĆ³n
  • SoluciĆ³n del lab: Canalizaciones de datos de transmisiĆ³n
  • Funciones de transmisiĆ³n de Cloud Dataflow
  • Funciones de transmisiĆ³n de alta capacidad de procesamiento de BigQuery y Bigtable
  • CĆ³mo hacer transmisiones hacia BigQuery y cĆ³mo visualizar resultados
  • IntroducciĆ³n al lab: Paneles y estadĆ­sticas de transmisiĆ³n
  • SoluciĆ³n del lab: Paneles y estadĆ­sticas de transmisiĆ³n
  • TransmisiĆ³n de alta capacidad de procesamiento con CloudĀ Bigtable
  • CĆ³mo optimizar el rendimiento de CloudĀ Bigtable
  • IntroducciĆ³n al lab: TransmisiĆ³n de canalizaciones de datos hacia Bigtable
  • SoluciĆ³n del lab: TransmisiĆ³n de canalizaciones de datos hacia Bigtable
  • EstadĆ­sticas de transmisiĆ³n y paneles
  • TransmisiĆ³n de alta capacidad de procesamiento con Cloud Bigtable
  • Funcionalidad y rendimiento avanzados de BigQuery
  • Funciones de GIS
  • DemostraciĆ³n: Funciones de GIS y mapeo con BigQuery
  • ComparaciĆ³n entre clĆ”usulas WITH y tablas permanentes
  • Funciones analĆ­ticas
  • IntroducciĆ³n al lab: CĆ³mo optimizar sus consultas de BigQuery para el rendimiento
  • Consideraciones de rendimiento
  • IntroducciĆ³n al lab: CĆ³mo crear tablas particionadas por fecha en BigQuery
  • Funcionalidad avanzada y consideraciones de rendimiento de BigQuery
  • Resumen
  • Resumen del curso

Summary of User Reviews

Discover the world of streaming analytics systems on GCP with this comprehensive course on Coursera. Students have praised the course for its engaging content and practical approach to learning.

Key Aspect Users Liked About This Course

The practical approach to learning

Pros from User Reviews

  • Engaging content
  • Practical examples
  • Clear explanations
  • Good pacing
  • Insightful assignments

Cons from User Reviews

  • Some sections may be too advanced for beginners
  • Limited interaction with instructors
  • Occasional technical glitches
  • Not enough emphasis on real-world applications
  • Lacks in-depth coverage of certain topics
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Approx. 12 hours to complete
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