Serverless Data Processing with Dataflow: Operations en Español (Coursera)

Offered by Google Cloud,
Serverless Data Processing with Dataflow: Operations en Español (Coursera)

En esta última parte de la serie de cursos de Dataflow, presentaremos los componentes del modelo operativo de Dataflow. Examinaremos las herramientas y técnicas que permiten solucionar problemas y optimizar el rendimiento de las canalizaciones. Luego, revisaremos las prácticas recomendadas de las pruebas, la implementación y la confiabilidad en relación con las canalizaciones de Dataflow.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

Concluiremos con una revisión de las plantillas, que facilitan el ajuste de escala de las canalizaciones de Dataflow para organizaciones con cientos de usuarios. Estas clases asegurarán que su plataforma de datos sea estable y resiliente ante circunstancias inesperadas.

What You Will Learn

  • Realizar actividades de supervisión, solución de problemas, pruebas y CI/CD en las canalizaciones de Dataflow.
  • Implementar canalizaciones de Dataflow pensando en la confiabilidad para maximizar la estabilidad de su plataforma de procesamiento de datos.

Syllabus

WEEK 1
Introducción
En este módulo, se aborda la descripción del curso.
Monitoring
En este módulo, aprenderemos a usar la página Lista de trabajos para filtrar los trabajos que deseamos supervisar o investigar. Observaremos cómo las pestañas Gráfico del trabajo, Información del trabajo y Métricas del trabajo brindan en conjunto un resumen completo de su trabajo de Dataflow. Por último, aprenderemos a usar la integración de Dataflow en el Explorador de métricas a fin de crear políticas de alertas para métricas de Dataflow.
Informes de errores y registros
En este módulo, aprenderemos a usar el panel Registro ubicado al final de las páginas Grafo de trabajo y Métricas del trabajo, y sobre la página Informes de errores centralizada.
Solución de problemas y depuración
En este módulo, aprenderemos a depurar canalizaciones de Dataflow y solucionar sus problemas. También revisaremos los cuatro modos habituales de fallas de Dataflow: falla en la compilación de canalizaciones, falla en el inicio de la canalización de Dataflow, falla en la ejecución de canalizaciones y problemas de rendimiento.

WEEK 2
Rendimiento
En este módulo, analizaremos las consideraciones de rendimiento que se deben tener presentes cuando se desarrollan canalizaciones por lotes y de transmisión en Dataflow.
Testing y CI/CD
En este módulo, analizaremos cómo realizar pruebas de unidades de las canalizaciones de Dataflow. También presentaremos los frameworks y las funciones disponibles a fin de optimizar su flujo de trabajo de CI/CD para las canalizaciones de Dataflow.
Confiabilidad
En este módulo, analizaremos métodos para compilar sistemas que sean resilientes ante la corrupción de datos y las interrupciones de los centros de datos.
Plantillas Flexibles
En este módulo, se abordan las plantillas flexibles, una función que ayuda a los equipos de ingeniería a estandarizar y reutilizar el código de las canalizaciones de Dataflow. Muchos desafíos operativos se pueden solucionar con las plantillas flexibles.
Resumen
En este módulo, se revisan los temas abordados en el curso.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Fundamentals of Operations, with Goldman Sachs 10,000 Women (Coursera) Coursera
Goldman Sachs

Fundamentals of Operations, with Goldman Sachs 10,000 Women (Coursera)

This course is one of 10 courses available in the Goldman Sachs 10,000 Women collection, designed for entrepreneurs ready to take their business to the next level. In this course, you will identify and refine your business operations and processes. You will explore how these can be developed, both to maximise customer satisfaction and support business growth.

Oct 12th 2026
1 Week
Fundamentals of Generative AI for Beginners (Coursera) Coursera
AWS

Fundamentals of Generative AI for Beginners (Coursera)

Generative AI is a disruptive technology and its impact has been immense. It is causing businesses to rethink customer strategies and redesign their products, chipmakers are scrambling to keep up with the increased demand for processors, and in academia, educators are altering learning paths and curriculums in every field of study.

Jan 13th 2025
4 Weeks
Parallel Programming in Java (Coursera) Coursera
Rice University

Parallel Programming in Java (Coursera)

This course teaches learners (industry professionals and students) the fundamental concepts of parallel programming in the context of Java 8. Parallel programming enables developers to use multicore computers to make their applications run faster by using multiple processors at the same time. By the end of this course, you will learn how to use popular parallel Java frameworks (such as ForkJoin, Stream, and Phaser) to write parallel programs for a wide range of multicore platforms including servers, desktops, or mobile devices, while also learning about their theoretical foundations including computation graphs, ideal parallelism, parallel speedup, Amdahl's Law, data races, and determinism.

Oct 12th 2026
4 Weeks
Create Serverless Applications (Coursera) Coursera
Microsoft

Create Serverless Applications (Coursera)

In this course, you will learn how Azure Functions enable the creation of event-driven, compute-on-demand systems that can be triggered by various external events. You will earn how to leverage functions to execute server-side logic and build serverless architectures. This course will help you prepare for the Microsoft Certified: Azure Developer Associate certification.

Oct 19th 2026
5-12 Weeks
Operations and Process Management (Coursera) Coursera
Illinois Tech

Operations and Process Management (Coursera)

The course focuses on teaching students how to successfully analyze a business process, research methods of improving a process, and adapt/integrate the improvement. methods into the business process in a prioritized and actionable manner. The goal of the course is to expose students to a universal set of business processes and provide them with a formal approach to improving and monitoring the health of those processes that they can apply in a current or future opportunity.

Oct 12th 2026
5-12 Weeks
Serverless Architectures on AWS (Coursera) Coursera
AWS

Serverless Architectures on AWS (Coursera)

A modern software engineer knows how to use the benefits of managed services from Amazon Web Services to reduce the coding needed to get a project across the line. There’s a lot of code you really don’t need to write when you can use a managed service for your applications. Less code means less tests, less bugs, and quicker delivery. In this course, we get hands on with automation tools and serverless managed services.

Oct 19th 2026
2 Weeks
Application Development using Microservices and Serverless (Coursera) Coursera
IBM

Application Development using Microservices and Serverless (Coursera)

Are you a developer ready to explore serverless application development? This intermediate-level course is for you! Begin with an understanding of how serverless benefits developers, learn when to use serverless programming, serverless deployment models, and discover its top use cases and design patterns. You’ll also discover how serverless supports continuous integration and continuous delivery (CI/CD) and microservices integration.

Oct 12th 2026
5-12 Weeks
Serverless Data Processing with Dataflow:Foundations Español (Coursera) Coursera
Google Cloud

Serverless Data Processing with Dataflow:Foundations Español (Coursera)

Este curso corresponde a la 1ª parte de una serie de 3 cursos llamada Serverless Data Processing with Dataflow. Para comenzar, en el primer curso haremos un repaso de qué es Apache Beam y cómo se relaciona con Dataflow. Luego, hablaremos sobre la visión de Apache Beam y los beneficios que ofrece su framework de portabilidad. Dicho framework hace posible que un desarrollador pueda usar su lenguaje de programación favorito con su backend de ejecución preferido.

Oct 19th 2026
2 Weeks
Operations Management (Coursera) Coursera
FIA Business School

Operations Management (Coursera)

Participants will learn to optimize operations, enhance productivity, and address real-world challenges through strategic planning and effective implementation. The curriculum combines theoretical knowledge with practical applications to equip learners with the skills needed for successful operations management in various industries.

Oct 19th 2026
5-12 Weeks
Operations Excellence (Coursera) Coursera
Rutgers University

Operations Excellence (Coursera)

Supply Chains are made up of a network of companies from the initial raw materials to the ultimate consumer of the finished product. Within this network of companies, there are three ongoing flows: products, information, and finances. To properly understand and manage the supply chain, you need to understand all the flows. If you do not consider all of the flows, you will miss opportunities or sub-optimize parts of the supply chain.

Oct 12th 2026
4 Weeks
Network Analysis in Systems Biology (Coursera) Coursera
Icahn School of Medicine at Mount Sinai

Network Analysis in Systems Biology (Coursera)

An introduction to data integration and statistical methods used in contemporary Systems Biology, Bioinformatics and Systems Pharmacology research. The course covers methods to process raw data from genome-wide mRNA expression studies (microarrays and RNA-seq) including data normalization, differential expression, clustering, enrichment analysis and network construction. The course contains practical tutorials for using tools and setting up pipelines, but it also covers the mathematics behind the methods applied within the tools.

Oct 26th 2026
5-12 Weeks
The Total Data Quality Framework (Coursera) Coursera
University of Michigan

The Total Data Quality Framework (Coursera)

By the end of this first course in the Total Data Quality specialization, learners will be able to: identify the essential differences between designed and gathered data and summarize the key dimensions of the Total Data Quality (TDQ) Framework; define the three measurement dimensions of the Total Data Quality framework, and describe potential threats to data quality along each of these dimensions for both gathered and designed data; define the three representation dimensions of the Total Data Quality framework, and describe potential threats to data quality along each of these dimensions for both gathered and designed data; and ; describe why data analysis defines an important dimension of the Total Data Quality framework, and summarize potential threats to the overall quality of an analysis plan for designed and/or gathered data.

Oct 12th 2026
4 Weeks