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

Big Data Analysis Deep Dive (Coursera) Coursera
Alibaba Cloud Academy

Big Data Analysis Deep Dive (Coursera)

The job market for architects, engineers, and analytics professionals with Big Data expertise continues to increase. The Academy’s Big Data Career path focuses on the fundamental tools and techniques needed to pursue a career in Big Data. This course includes: data processing with python, writing and reading SQL queries, transmitting data with MaxCompute, analyzing data with Quick BI, using Hive, Hadoop, and spark on E-MapReduce, and how to visualize data with data dashboards. Work through our course material, learn different aspects of the Big Data field, and get certified as a Big Data Professional!

Sep 28th 2026
5-12 Weeks
Oil & Gas Industry Operations and Markets (Coursera) Coursera
Duke University

Oil & Gas Industry Operations and Markets (Coursera)

The oil and gas industry has an enormous impact on all aspects of daily life. Individuals, corporations, and national governments make financial and policy decisions based on the cost, use, and availability of these two natural resources. This two-week course looks at the two most fundamental aspects of the oil and gas industry, its operations and markets, each of which is addressed as a separate module in the course.

Sep 30th 2026
2 Weeks
Power BI for Data Science and Analytics (Coursera) Coursera
Edureka

Power BI for Data Science and Analytics (Coursera)

Welcome to the Power BI for Data Science and Analytics Course. This course helps learners become proficient in utilizing the Power BI tool for data analytics. Leverage important Power BI features to extract more valuable insights from data and visuals. Centralize your data with the help of dataflows for modeling data that can also be used for text and image analytics.

Sep 21st 2026
4 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.

Sep 14th 2026
4 Weeks
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.

Sep 14th 2026
1 Week
Fundamentos de las Operaciones con Goldman Sachs 10,000 Women (Coursera) Coursera
Goldman Sachs

Fundamentos de las Operaciones con Goldman Sachs 10,000 Women (Coursera)

Este curso online gratuito es uno de los 10 cursos disponibles en la colección Goldman Sachs 10,000 Women, diseñado para emprendedoras listas para llevar su negocio al siguiente nivel. En este curso, aprenderás sobre las operaciones e identificarás y refinarás tus procesos comerciales. Explorarás cómo estos se pueden desarrollar y administrar, tanto para maximizar la satisfacción del cliente como para apoyar el crecimiento del negocio.

Sep 21st 2026
1 Week
Data Processing with Azure (Coursera) Coursera
LearnQuest

Data Processing with Azure (Coursera)

This Azure training course is designed to equip students with the knowledge need to process, store and analyze data for making informed business decisions. Through this Azure course, the student will understand what big data is along with the importance of big data analytics, which will improve the students mathematical and programming skills. Students will learn the most effective method of using essential analytical tools such as Python, R, and Apache Spark.

Sep 21st 2026
3 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.

Sep 14th 2026
5-12 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.

Sep 21st 2026
5-12 Weeks
Data Processing Using Python (Coursera) Coursera
Nanjing University

Data Processing Using Python (Coursera)

This course is mainly for non-computer majors. It starts with the basic syntax of Python, to how to acquire data in Python locally and from network, to how to present data, then to how to conduct basic and advanced statistic analysis and visualization of data, and finally to how to design a simple GUI to present and process data, advancing level by level.

Sep 14th 2026
5-12 Weeks
Building Resilient Streaming Systems on GCP em Português Brasileiro (Coursera) Coursera
Google Cloud

Building Resilient Streaming Systems on GCP em Português Brasileiro (Coursera)

Este curso rápido sob demanda tem uma semana de duração e é baseado no Google Cloud Platform Big Data and Machine Learning Fundamentals. Por meio de videoaulas, demonstrações e laboratórios práticos, os participantes aprenderão a criar pipelines de dados de streaming usando o Google Cloud Pub/Sub e o Dataflow para a tomada de decisões em tempo real. Você também aprenderá a criar painéis para renderizar respostas personalizadas para vários tipos de público das partes interessadas.

Sep 21st 2026
1 Week