Coursera

Serverless Data Processing with Dataflow:Foundations Español (Coursera)

Offered by 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.

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

Después, le mostraremos cómo Dataflow le permite separar el procesamiento y el almacenamiento y, a la vez, ahorrar dinero. También le explicaremos cómo las herramientas de identidad, acceso y administración interactúan con sus canalizaciones de Dataflow. Por último, veremos cómo implementar el modelo de seguridad adecuado en Dataflow según su caso de uso.

What You Will Learn

  • Demostrar cómo Apache Beam y Cloud Dataflow trabajan juntos para satisfacer las necesidades de procesamiento de datos de su organización
  • Resumir las ventajas del marco de portabilidad de Beam y habilitarlo para sus pipelines de flujo de datos
  • Habilitar Shuffle & Streaming Engine para los pipelines de batch y streaming respectivamente para un máximo rendimiento

Syllabus

WEEK 1
Introducción
Este módulo incluye la descripción del curso y un breve repaso del modelo de programación de Apache Beam y del servicio administrado de Dataflow de Google.
Portabilidad de Beam
En este módulo, estudiaremos cuatro secciones: Portabilidad de Beam, Runner v2, Entornos de contenedores y Transformaciones en varios lenguajes.
Cómo separar el procesamiento y el almacenamiento con Dataflow
En este módulo, aprenderá a separar el procesamiento y el almacenamiento con Dataflow. Además, en él encontrará cuatro secciones: Dataflow, Servicio Dataflow Shuffle, Dataflow Streaming Engine y Programación flexible de recursos.

WEEK 2
IAM, cuotas y permisos
En este módulo, hablaremos sobre los diferentes permisos, cuotas y funciones de IAM que se necesitan para ejecutar Dataflow.
Seguridad
En este módulo, veremos cómo implementar el modelo de seguridad adecuado en Dataflow según su caso de uso.
Resumen
En este curso, haremos un repaso de qué es Apache Beam y cómo se relaciona con Dataflow.

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

Related Courses

Building Modern .NET Applications on AWS (Coursera) Coursera
AWS

Building Modern .NET Applications on AWS (Coursera)

CS: Information & Technology

In modern cloud native application development, it’s oftentimes the goal to build out serverless architectures that are scalable, are highly available, and are fully managed. This means less operational overhead for you and your business, and more focusing on the applications and business specific projects that differentiate you in your marketplace. In this course, we will be covering how to build a modern, greenfield serverless backend on AWS.

May 20th 2024
5-12 Weeks
Applications Applications Development .NET Framework
Details
Microservices and Serverless (edX) EdX
IBM

Microservices and Serverless (edX)

Computer Science

Design, develop, deploy, manage and secure applications and solutions on public, private or hybrid cloud platforms. This course will introduce you to 12-factor apps and microservices, concepts that emerged to help organizations work better and faster in a cloud-native manner. You’ll then learn about serverless computing—how it works, what value it brings, and what are specific serverless technologies. You’ll get hands-on with IBM Cloud Functions, a serverless platform on IBM Cloud that lets you develop serverless apps with ease. Finally, you will learn to build and deploy applications using container images on the code engine.

Self Paced
Self-Paced
Cloud Computing REST APIs GraphQL
Details
Data Processing and Analysis with Excel (edX) EdX
Rochester Institute of Technology,RITx

Data Processing and Analysis with Excel (edX)

Statistics & Data Analysis

Learn to use Excel to organize and clean data so it can be manipulated and analyzed. In this course, you will learn how to organize your data within the Microsoft Office Excel software tool. Once organized, we will discuss data cleaning. You will learn how to identify outliers and anomalies in the data, and how to identify and change data-types. Together we will develop a data analysis plan, after which we will apply analysis methods and tools, including exploratory analysis, evaluation of results, and comparison with other findings.

Self Paced
Self-Paced
Excel Data Analysis Microsoft Excel
Details
Data Processing with Azure (Coursera) Coursera
LearnQuest

Data Processing with Azure (Coursera)

CS: Information & Technology

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.

Jul 27th 2026
3 Weeks
Big Data Data Analysis Microsoft Azure
Details
Serverless Data Processing with Dataflow: Operations en Español (Coursera) Coursera
Google Cloud

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

Statistics & Data Analysis Data Science

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.

Jul 27th 2026
2 Weeks
Operations Data Processing Dataflow
Details
Serverless Architectures on AWS (Coursera) Coursera
AWS

Serverless Architectures on AWS (Coursera)

CS: Information & Technology

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.

Jul 27th 2026
2 Weeks
Automation Authentication AWS
Details
Data Processing Using Python (Coursera) Coursera
Nanjing University

Data Processing Using Python (Coursera)

CS: Software Engineering Statistics & Data Analysis

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.

Aug 10th 2026
5-12 Weeks
Python Data Structures Data Analysis
Details
Create Serverless Applications (Coursera) Coursera
Microsoft

Create Serverless Applications (Coursera)

Computer Science

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.

Jul 27th 2026
5-12 Weeks
Microsoft Azure Azure Coursera Plus
Details
Aerial Photography with UAV (Coursera) Coursera
Saint Petersburg State University

Aerial Photography with UAV (Coursera)

CS: Design & Product Computer Science

The purpose of the course is to provide students with knowledge about the technology of aerial photography using unmanned aerial vehicles (UAVs). The course objectives include: knowledge about various aircraft and payloads, the geodetic control creation, flights planning and their implementation, the main stages of data processing and application of the results obtained.

Jul 25th 2022
5-12 Weeks
Photography Computer Science Aircraft
Details