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Leire Ahedo

Este proyecto es un curso práctico y efectivo para aprender a utilizar la herramienta de Azure Data Factory desde cero. Aprenderás, de manera practica y efectiva a generar pipelines en Data Factory y a utilizar los recursos necesarios de Azure.

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What's inside

Syllabus

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Diseñado para principiantes, proporciona una base sólida en el uso de Azure Data Factory
Los instructores, Leire Ahedo, son expertos en el tema y ofrecen una guía práctica
El curso se centra en el uso de recursos de Azure, lo que lo hace relevante para la industria
El plan de estudios cubre conceptos prácticos y aplicados, lo que lo hace valioso para profesionales
Requiere conocimientos previos en el uso de Azure, lo que podría ser una barrera para algunos estudiantes

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Reviews summary

Introducción práctica a azure data factory

Según los estudiantes, este curso es una excelente introducción práctica a Azure Data Factory, ideal para quienes desean aprender desde cero. Muchos destacan las explicaciones claras y los ejemplos y laboratorios prácticos que facilitan la comprensión de los conceptos básicos y la creación de pipelines. Un aspecto notable es que, aunque algunas reseñas antiguas mencionaban contenido desactualizado, recientes actualizaciones han transformado el curso, reflejando ahora la interfaz actual de Azure y haciendo los ejercicios perfectamente funcionales. Si bien proporciona una base sólida, los alumnos señalan que, por su naturaleza introductoria, no profundiza en temas avanzados.
El instructor explica de manera clara y paciente.
"El instructor explica muy bien y de manera clara, lo cual hizo el aprendizaje muy ameno."
"El instructor es paciente y la calidad del video es buena, lo que facilita seguir todo el contenido."
"Su forma de explicar Azure Data Factory es comprensible incluso para mí, que no tenía experiencia previa."
Fomenta la comprensión a través de ejemplos y demos útiles.
"Me gustó el enfoque práctico, muy buen curso, directo al grano y con ejemplos que puedes seguir fácilmente."
"Las demos prácticas son clave para aprender. ¡Ahora me siento más seguro para aplicar ADF en mi trabajo!"
"Los laboratorios prácticos son muy útiles para entender cómo generar pipelines y utilizar los recursos de Azure."
Proporciona una base excelente para principiantes en ADF.
"Este curso es excelente para quienes empiezan con ADF. La explicación es muy clara..."
"Fantástico para principiantes. El contenido es muy bien estructurado y fácil de seguir."
"El curso es muy completo para su nivel introductorio. Definitivamente me dio una base sólida para empezar a trabajar con ADF."
Mejoras recientes resuelven problemas de desactualización.
"¡El curso ha mejorado muchísimo! Parece que el instructor ha actualizado el contenido. Los ejemplos ahora funcionan perfectamente y reflejan la interfaz actual de Azure."
"Anteriormente, los ejercicios no siempre estaban al día con los cambios en la interfaz de Azure, lo cual fue un poco frustrante, pero ahora está resuelto."
"Me alegró ver que el contenido ha sido revisado y ahora está totalmente al día con las últimas versiones de Azure Data Factory."
No profundiza en temas complejos o avanzados de Azure Data Factory.
"Para ser una 'introducción', cumple con lo prometido, pero no esperes algo avanzado en temas complejos o de optimización."
"Siento que le falta profundidad en algunas áreas si ya tienes conocimientos básicos, pero es ideal para empezar desde cero."
"Por su naturaleza introductoria, no profundiza en temas más avanzados de optimización o depuración, aunque eso es esperado."

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 Introducción a Azure Data Factory para Big Data with these activities:
Review Data Factory Concepts
Refresh your knowledge of key data factory concepts to enhance your understanding.
Browse courses on Data Factory
Show steps
  • Review Data Factory documentation
  • Watch Azure Data Factory tutorial videos
Show all one activities

Career center

Learners who complete Introducción a Azure Data Factory para Big Data will develop knowledge and skills that may be useful to these careers:
Big Data Engineer
Big Data Engineers design, build, and maintain data pipelines that move vast amounts of data from various sources into and out of a data warehouse. They work closely with data analysts and scientists to ensure that the data is clean, accurate, and accessible. This course may be useful for aspiring Big Data Engineers as it provides a foundation in Azure Data Factory, a tool commonly used for building data pipelines for big data.
Data Engineer
Data Engineers are responsible for designing, building, and maintaining data pipelines that move data from various sources into and out of a data warehouse. They work closely with data analysts and scientists to ensure that the data is clean, accurate, and accessible. This course may be useful for aspiring Data Engineers as it provides a foundation in Azure Data Factory, a tool commonly used for building data pipelines.
Data Architect
Data Architects design and implement data management solutions. They work with businesses to understand their data needs and then design and implement solutions that meet those needs. This course may be useful for aspiring Data Architects as it provides hands-on experience with Azure Data Factory, a tool that can be used to design and implement data pipelines.
Data Security Analyst
Data Security Analysts are responsible for protecting data from unauthorized access, use, disclosure, disruption, modification, or destruction. They work with businesses to identify and mitigate risks to data security. This course may be useful for aspiring Data Security Analysts as it provides hands-on experience with Azure Data Factory, a tool that can be used to implement data security measures.
Data Analyst
Data Analysts use data to solve business problems. They work with data from a variety of sources to identify trends and patterns, and then use this information to make recommendations to businesses. This course may be useful for aspiring Data Analysts as it provides hands-on experience with Azure Data Factory, a tool that can be used to collect, clean, and analyze data.
Data Privacy Analyst
Data Privacy Analysts are responsible for protecting the privacy of data. They work with businesses to identify and mitigate risks to data privacy. This course may be useful for aspiring Data Privacy Analysts as it provides hands-on experience with Azure Data Factory, a tool that can be used to implement data privacy measures.
Data Steward
Data Stewards are responsible for managing and governing data. They work with businesses to understand their data needs and then develop and implement policies and procedures to ensure that the data is accurate, consistent, and accessible. This course may be useful for aspiring Data Stewards as it provides hands-on experience with Azure Data Factory, a tool that can be used to manage and monitor data.
Data Scientist
Data Scientists use data to build predictive models. They work with data from a variety of sources to identify patterns and trends, and then use this information to build models that can predict future outcomes. This course may be useful for aspiring Data Scientists as it provides hands-on experience with Azure Data Factory, a tool that can be used to collect, clean, and analyze data.
Cloud Architect
Cloud Architects design and implement cloud computing solutions. They work with businesses to understand their needs and then design solutions that meet those needs. They also work with cloud providers to ensure that the solutions are implemented correctly. This course may be useful for aspiring Cloud Architects as it provides hands-on experience with Azure Data Factory, a tool that can be used to build data pipelines in the cloud.
Data Visualization Specialist
Data Visualization Specialists create visual representations of data. They work with data analysts and scientists to identify trends and patterns, and then use this information to create visualizations that are clear, concise, and easy to understand. This course may be useful for aspiring Data Visualization Specialists as it provides hands-on experience with Azure Data Factory, a tool that can be used to collect, clean, and analyze data.
Database Administrator
Database Administrators are responsible for the day-to-day operation and maintenance of databases. They work with database software to ensure that the databases are running smoothly and that the data is secure. This course may be useful for aspiring Database Administrators as it provides hands-on experience with Azure Data Factory, a tool that can be used to manage and monitor databases.
Business Analyst
Business Analysts work with businesses to understand their needs and then design and implement solutions that meet those needs. They work with a variety of stakeholders, including executives, managers, and employees, to gather requirements and develop solutions. This course may be useful for aspiring Business Analysts as it provides hands-on experience with Azure Data Factory, a tool that can be used to gather and analyze data.
Software Engineer
Software Engineers design, develop, and maintain software applications. They work with businesses to understand their needs and then design and develop software solutions that meet those needs. This course may be useful for aspiring Software Engineers as it provides hands-on experience with Azure Data Factory, a tool that can be used to build data pipelines for software applications.
Project Manager
Project Managers plan and execute projects. They work with teams to ensure that projects are completed on time, within budget, and to the required quality. This course may be useful for aspiring Project Managers as it provides hands-on experience with Azure Data Factory, a tool that can be used to manage and monitor projects.
Technical Writer
Technical Writers create documentation for software and hardware products. They work with engineers and other technical experts to gather information and then write documentation that is clear, concise, and easy to understand. This course may be useful for aspiring Technical Writers as it provides hands-on experience with Azure Data Factory, a tool that can be used to create documentation for data pipelines.

Reading list

We've selected four 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 Introducción a Azure Data Factory para Big Data.
Esta guía de mejores prácticas proporciona orientación sobre cómo diseñar, desarrollar e implementar soluciones de Azure Data Factory. Cubre temas como la arquitectura de Data Factory, la seguridad y la resolución de problemas.
Este libro es una introducción a Azure Data Factory para principiantes. Cubre los conceptos básicos, como la arquitectura, las canalizaciones y la transformación de datos.
Esta guía de referencia proporciona una descripción general concisa de los conceptos y técnicas de canalización de datos. Es un recurso útil para profesionales que buscan información rápida sobre los aspectos prácticos de la integración de datos.
Este libro ofrece un enfoque práctico para aprender Data Factory a través de ejemplos detallados. Cubre una amplia gama de escenarios de integración de datos y proporciona soluciones listas para usar.

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