We may earn an affiliate commission when you visit our partners.

Building Resilient Streaming Analytics Systems on GCP en Español

El procesamiento de datos de transmisión es cada vez más popular, puesto que permite a las empresas obtener métricas en tiempo real sobre las operaciones comerciales. Este curso aborda cómo crear canalizaciones de datos de transmisión en Google Cloud. Pub/Sub se describe para manejar los datos de transmisión entrantes. El curso también aborda cómo aplicar agregaciones y transformaciones a los datos de transmisión con Dataflow y cómo almacenar los registros procesados en BigQuery o Cloud Bigtable para analizarlos. Los estudiantes obtendrán experiencia práctica en la compilación de componentes de canalizaciones de datos de transmisión en Google Cloud con Qwiklabs.

Enroll now

Or subscribe to Coursera Plus

And get unlimited access to Coursera

Two deals to help you save

Save money when you learn. Here are two deals and offers that may be relevant to this course.

All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.

Valid until July 14

Coursera Plus Annual

Work toward what's next for your career with access to 10,000+ programs. Discover emerging skills and save.

Valid until August 30

Google AI App Builder

Learn how to use Gemini API and API Studio with a three-course series from Google DeepMind

What's inside

Syllabus

Introducción

Este módulo es una introducción al curso y el temario

Introducción al procesamiento de datos de transmisión

Este módulo trata sobre los desafíos del procesamiento de datos de transmisión

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Presenta una estructura escalonada, ideal para principiantes y estudiantes intermedios

Profundiza en las funciones de transmisión de Dataflow, que son esenciales para el procesamiento de datos de transmisión

Explora BigQuery y Bigtable, dos herramientas de almacenamiento de datos de Google Cloud que son valiosas para el procesamiento de transmisión

Los laboratorios prácticos de Qwiklabs brindan experiencia práctica en la creación de canalizaciones de datos de transmisión

Requiere experiencia previa en el procesamiento de datos de transmisión

El uso de Pub/Sub para la mensajería sin servidor puede requerir conocimientos previos

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.

Save

Reviews summary

Sistemas de análisis de transmisión resilientes en gcp

Según los estudiantes, este curso de Google Cloud parece ofrecer una sólida base para la construcción de sistemas de análisis de transmisión resilientes. Se espera que las actividades prácticas con Qwiklabs sean un punto clave, permitiendo la implementación de conceptos sobre servicios como Pub/Sub, Dataflow, BigQuery y Cloud Bigtable. El enfoque en métricas en tiempo real y la naturaleza práctica del curso sugieren una experiencia relevante para profesionales. Dada la especialización, los estudiantes podrían encontrar los conceptos complejos si no tienen una base previa, aunque el curso se presenta como una introducción a la temática.

La calidad de la traducción al español es muy alta.

"La disponibilidad del curso en español es un gran valor, la traducción es excelente y muy natural."

"Agradezco poder aprender estos temas técnicos complejos en mi idioma nativo sin barreras."

"El contenido en español hizo que la comprensión de los conceptos técnicos fuera mucho más fluida para mí."

Se enfoca en la obtención de métricas y datos en tiempo real.

"Los contenidos del curso son muy relevantes para mi necesidad de procesar datos en tiempo real."

"Realmente me ayudó a entender cómo las empresas pueden obtener métricas instantáneas con GCP."

"La funcionalidad de transmisión de datos es muy útil para las aplicaciones modernas que requieren análisis instantáneo."

Cubre integralmente los servicios esenciales de GCP para streaming.

"El curso cubre las herramientas principales como Pub/Sub y Dataflow de forma muy clara."

"Siento que obtuve una comprensión sólida de BigQuery y Cloud Bigtable para casos de uso de transmisión de datos."

"Aprendí a integrar eficientemente Pub/Sub con Dataflow para construir tuberías robustas."

Ofrece experiencia práctica fundamental mediante laboratorios.

"Me resultó invaluable la oportunidad de trabajar con los laboratorios de Qwiklabs; realmente me ayudaron a solidificar los conceptos."

"Aprecio que el curso se centre tanto en la implementación práctica, eso es lo que busco en cursos de GCP."

"Los ejercicios hands-on son lo más destacable, es la mejor forma de aprender estas tecnologías."

Los temas avanzados pueden ser un desafío sin bases previas.

"Algunas partes pueden ser un poco densas si no estoy familiarizado con la terminología de Google Cloud."

"Aunque está bien explicado, los conceptos se vuelven complejos rápidamente y sugiero tener alguna experiencia previa en la nube."

"Este curso parece ideal para quienes ya tienen una base en GCP y buscan profundizar en streaming."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Building Resilient Streaming Analytics Systems on GCP en Español with these activities:

Repaso de fundamentos de mensajería sin servidor

Show steps

Refresca tus conocimientos sobre mensajería sin servidor y la función de Pub/Sub en el procesamiento de datos de transmisión.

Browse courses on Pub/Sub

Show steps

Revisa la documentación de Pub/Sub
Realiza ejercicios prácticos de creación y publicación de mensajes

Refresca tus conocimientos en bases de datos

Show steps

Revisa los conceptos básicos de bases de datos para sentar una base sólida para este curso.

View Fundamentos de sistemas de bases de datos on Amazon

Show steps

Lee los capítulos 1-3 del libro
Haz ejercicios de práctica para comprobar tu comprensión

Explora tutoriales sobre Pub/Sub

Show steps

Familiarízate con Pub/Sub y sus funciones para procesar datos en tiempo real.

Browse courses on Pub/Sub

Show steps

Encuentra tutoriales en línea o en la documentación oficial
Sigue los tutoriales y experimenta con Pub/Sub

Five other activities

Expand to see all activities and additional details

Show all eight activities

Practica transformaciones de datos con Dataflow

Show steps

Fortalece tus habilidades para transformar y agregar datos en tiempo real utilizando Dataflow.

Browse courses on Dataflow

Show steps

Encuentra conjuntos de datos de muestra
Crea canalizaciones de transformación de datos en Dataflow
Experimenta con diferentes transformaciones

Ejercicios guiados para crear canalizaciones en Dataflow

Show steps

Refuerza tu comprensión de cómo utilizar Dataflow para crear canalizaciones de datos de transmisión.

Browse courses on Dataflow

Show steps

Sigue un tutorial guiado sobre la creación de canalizaciones de Dataflow
Aplica transformaciones y agregaciones a los datos de transmisión
Implementa patrones de canalización comunes

Desarrolla una canalización de datos de muestra

Show steps

Aplica los conceptos aprendidos para crear una canalización de datos funcional y procesar datos en tiempo real.

Browse courses on Data Engineering

Show steps

Define el alcance y los objetivos de la canalización
Diseña la arquitectura de la canalización
Implementa la canalización utilizando Google Cloud
Prueba y valida la canalización

Tutoriales sobre el uso de Cloud Bigtable y BigQuery para el procesamiento de la transmisión

Show steps

Amplía tus conocimientos sobre el uso de Bigtable y BigQuery para almacenar y analizar datos de transmisión de forma eficiente.

Browse courses on Bigtable

Show steps

Mira tutoriales en vídeo sobre Bigtable y BigQuery
Experimenta con el almacenamiento de datos de transmisión en Bigtable y BigQuery
Explora las funciones avanzadas de Bigtable y BigQuery

Contribuye a proyectos de código abierto relacionados con el procesamiento de datos en tiempo real

Show steps

Participa en proyectos de código abierto para ampliar tus conocimientos y contribuir a la comunidad.

Browse courses on Open Source

Show steps

Identifica proyectos relevantes en plataformas como GitHub
Revisa la documentación y contribuye con cambios
Interactúa con la comunidad y aprende de otros colaboradores

Career center

Learners who complete Building Resilient Streaming Analytics Systems on GCP en Español will develop knowledge and skills that may be useful to these careers:

Data Engineer

Data Engineers create and maintain the pipelines that capture, store, and process the data used in a business' operations. They develop and maintain the systems that ensure that data is available to data scientists and analysts for reporting and research purposes. This course on Building Resilient Streaming Analytics Systems on GCP may be useful for someone who wants to become a Data Engineer because it provides an overview of how to build streaming data pipelines using Google Cloud.

See salaries and explore the career path for Data Engineer

Data Scientist

Data Scientists use their knowledge of mathematics, statistics, and computer science to extract insights from data. They develop and use models to predict future trends and patterns, identify risks and opportunities, and optimize business decisions. This course on Building Resilient Streaming Analytics Systems on GCP may be useful for someone who wants to become a Data Scientist because it provides an overview of how to use Google Cloud's tools for streaming data analytics.

See salaries and explore the career path for Data Scientist

Cloud Architect

Cloud Architects design and manage cloud computing systems. They work with developers and other IT professionals to ensure that cloud-based applications and services are secure, reliable, and scalable. This Building Resilient Streaming Analytics Systems on GCP course may be useful for someone who wants to become a Cloud Architect because it provides training on how to use Google Cloud's tools for streaming data analytics.

See salaries and explore the career path for Cloud Architect

Big Data Engineer

Big Data Engineers design and manage big data systems. They work with large datasets to extract insights and make data-driven decisions. This Building Resilient Streaming Analytics Systems on GCP course may be useful for someone who wants to become a Big Data Engineer because it provides training on how to use Google Cloud's tools for streaming data analytics.

See salaries and explore the career path for Big Data Engineer

Software Engineer

Software Engineers design, develop, and maintain software systems. They work with a variety of programming languages and technologies to create software that meets the needs of users. This Building Resilient Streaming Analytics Systems on GCP course may be useful for someone who wants to become a Software Engineer because it provides training on how to use Google Cloud's tools for streaming data analytics.

See salaries and explore the career path for Software Engineer

DevOps Engineer

DevOps Engineers work with developers and operations teams to ensure that software is delivered quickly and reliably. They automate and streamline the software development and delivery process. This Building Resilient Streaming Analytics Systems on GCP course may be useful for someone who wants to become a DevOps Engineer because it provides training on how to use Google Cloud's tools for streaming data analytics.

See salaries and explore the career path for DevOps Engineer

Systems Engineer

Systems Engineers design, build, and maintain computer systems. They work with a variety of hardware and software technologies to ensure that systems are reliable, efficient, and secure. This Building Resilient Streaming Analytics Systems on GCP course may be useful for someone who wants to become a Systems Engineer because it provides training on how to use Google Cloud's tools for streaming data analytics.

See salaries and explore the career path for Systems Engineer

Data Analyst

Data Analysts use data to solve business problems. They collect, clean, and analyze data to identify trends and patterns, and make recommendations for improvement. This Building Resilient Streaming Analytics Systems on GCP course may be useful for someone who wants to become a Data Analyst because it provides training on how to use Google Cloud's tools for streaming data analytics.

See salaries and explore the career path for Data Analyst

Database Administrator

Database Administrators design, implement, and maintain database systems. They work with a variety of database technologies to ensure that data is stored, managed, and retrieved efficiently. This Building Resilient Streaming Analytics Systems on GCP course may be useful for someone who wants to become a Database Administrator because it provides training on how to use Google Cloud's tools for streaming data analytics.

See salaries and explore the career path for Database Administrator

Network Engineer

Network Engineers design, build, and maintain computer networks. They work with a variety of networking technologies to ensure that networks are reliable, secure, and efficient. This Building Resilient Streaming Analytics Systems on GCP course may be useful for someone who wants to become a Network Engineer because it provides training on how to use Google Cloud's tools for streaming data analytics.

See salaries and explore the career path for Network Engineer

Security Engineer

Security Engineers design, implement, and maintain security systems. They work with a variety of security technologies to ensure that systems are protected from unauthorized access and cyberattacks. This Building Resilient Streaming Analytics Systems on GCP course may be useful for someone who wants to become a Security Engineer because it provides training on how to use Google Cloud's tools for streaming data analytics.

See salaries and explore the career path for Security Engineer

IT Manager

IT Managers plan, implement, and manage IT systems. They work with a variety of IT technologies to ensure that systems are aligned with the business's needs. This Building Resilient Streaming Analytics Systems on GCP course may be useful for someone who wants to become an IT Manager because it provides an overview of how to use Google Cloud's tools for streaming data analytics.

See salaries and explore the career path for IT Manager

Project Manager

Project Managers plan, execute, and close projects. They work with a variety of stakeholders to ensure that projects are completed on time, within budget, and to the required quality standards. This Building Resilient Streaming Analytics Systems on GCP course may be useful for someone who wants to become a Project Manager because it provides an overview of how to use Google Cloud's tools for streaming data analytics.

See salaries and explore the career path for Project Manager

Product Manager

Product Managers define, develop, and launch products. They work with a variety of stakeholders to ensure that products meet the needs of users and the business. This Building Resilient Streaming Analytics Systems on GCP course may be useful for someone who wants to become a Product Manager because it provides an overview of how to use Google Cloud's tools for streaming data analytics.

See salaries and explore the career path for Product Manager

Business Analyst

Business Analysts analyze business processes and systems to identify areas for improvement. They work with a variety of stakeholders to gather requirements, develop solutions, and implement change. This Building Resilient Streaming Analytics Systems on GCP course may be useful for someone who wants to become a Business Analyst because it provides an overview of how to use Google Cloud's tools for streaming data analytics.

See salaries and explore the career path for Business Analyst

Reading list

We've selected eight books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Building Resilient Streaming Analytics Systems on GCP en Español.

Docker Deep Dive

Save

Provides a comprehensive introduction to Kubernetes, a popular open-source container orchestration platform. It covers the basics of Kubernetes, as well as more advanced topics such as cluster management, service discovery, and security.

(English) Docker Deep Dive

Paperback

(English) Docker Deep Dive

Paperback

The Software Architect Elevator

Save

Provides a comprehensive introduction to cloud native patterns, covering topics such as microservices, containers, and serverless computing. It also discusses best practices for developing and deploying cloud native applications.

The Software Architect Elevator

Paperback

Check price

The Software Architect Elevator

Kindle Edition

Check price

Data-Intensive Text Processing with MapReduce

Save

Provides an introduction to MapReduce, a programming model for processing large datasets. It covers the basics of MapReduce, as well as more advanced topics such as fault tolerance, data compression, and optimization.

(English) Data-Intensive Text Processing with MapReduce...

Paperback

Beginning Java EE 7

Save

Provides a comprehensive introduction to modern Java EE applications, covering topics such as microservices, cloud computing, and DevOps. It also discusses performance optimization techniques, such as caching, compression, and load balancing.

(English) Beginning Java EE 7 (Expert Voice in Java)

Paperback

$$$

(English) Beginning Java EE 7 (Expert Voice in Java)

Kindle Edition

$$$

High Performance Browser Networking

Save

Provides a comprehensive introduction to browser networking, covering topics such as HTTP, TCP, and TLS. It also discusses performance optimization techniques, such as caching, compression, and load balancing.

(English) High Performance Browser Networking: What every web...

Paperback

(中文) Web性能权威指南 (图灵程序设计丛书) (Chinese Edition)

Kindle Edition

Hands-On Machine Learning with Scikit-Learn, Keras,...

Save

Provides a comprehensive introduction to TensorFlow, a popular open-source machine learning library. It covers the basics of TensorFlow, as well as more advanced topics such as deep learning, neural networks, and natural language processing.

(English) Hands-On Machine Learning with Scikit-Learn, Keras,...

Paperback

(English) Hands-On Machine Learning with Scikit-Learn, Keras,...

Paperback

$$$

(English) Hands-On Machine Learning with Scikit-Learn, Keras,...

Kindle Edition

Machine Learning Q and AI

Save

Provides a practical introduction to machine learning, using Python. It covers the basics of machine learning, as well as more advanced topics such as supervised and unsupervised learning, regression, and classification.

(English) Machine Learning Q and AI: 30 Essential Questions...

Paperback

(English) Machine Learning Q and AI: 30 Essential Questions...

Kindle Edition

Deep Learning with Python, Second Edition

Save

Provides a practical introduction to deep learning, using Python. It covers the basics of deep learning, as well as more advanced topics such as convolutional neural networks, recurrent neural networks, and natural language processing.

(English) Deep Learning with Python, Second Edition

Paperback

(English) Deep Learning with Python, Second Edition

Kindle Edition

Help others find this course page by sharing it with your friends and followers: