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Leire Ahedo
Este proyecto es un curso práctico y efectivo para aprender a utilizar las herramientas de Azure Data Factory y Azure Databricks desde cero. Aprenderás, de manera practica y efectiva a generar pipelines en Data Factory, a utilizar Notebooks de Spark en Databricks y a integrar ambas herramientas.
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OpenCourser.com/course/x2lycz/azure
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What's inside
Syllabus
Azure Data Engineer con Databricks y Data Factory
En este curso se aprenderá a utilizar Azure Data Factory y Azure Databricks
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
El curso ofrece una experiencia de aprendizaje práctica y efectiva para dominar Azure Data Factory y Azure Databricks desde cero
Orientado a profesionales que deseen desarrollar sus habilidades en integración de datos y análisis avanzado
Explora herramientas y tecnologías esenciales para el procesamiento y análisis de datos a gran escala
Dirigido por instructores experimentados en el campo de la ingeniería de datos
Perfecto para quienes buscan fortalecer sus habilidades prácticas en integración y análisis de datos
Requiere conocimientos previos en conceptos básicos de bases de datos y programación
Save this course
Save Azure Data Engineer con Databricks y Azure Data Factory to your list so you can find it easily later:
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Reviews summary
Azure data engineer with databricks and azure data factory
Azure Data Engineer with Databricks and Azure Data Factory is a practical and effective course for learning how to use Azure Data Factory and Azure Databricks from scratch. You will learn how to create pipelines in Data Factory, use Spark Notebooks in Databricks, and integrate both tools.
Good course material that is easy to follow.
"Good material, easy to follow..."
Learn through practical exercises.
"This project is a practical and effective course..."
Instructor could improve presentation skills.
"Instructor must improve her presentation..."
Instructor should show complete execution.
"...no pueda mostrar la ejecucion completa"
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 Azure Data Engineer con Databricks y Azure Data Factory with these
activities:
Connect with Experienced Cloud Engineers
Show steps
Provides opportunities to seek guidance from experts in the field, broadening your perspective and expanding your knowledge base.
Show steps
-
Attend industry events and meetups.
-
Connect with professionals on LinkedIn.
-
Reach out to experts in your field via email or social media.
-
Ask for advice and mentorship opportunities.
Review Data Engineering Essentials
Show steps
Refreshes essential data engineering concepts to strengthen foundational understanding for this course.
Browse courses on
Data Engineering
Show steps
-
Revisit principles of data modeling and data warehousing.
-
Review techniques for data integration and transformation.
-
Explore different data engineering tools and platforms.
Introduction to Azure Data Factory
Show steps
Provides a quick overview of Azure Data Factory, its features, and how it's used for data integration and transformation.
Browse courses on
Azure Data Factory
Show steps
-
Follow a step-by-step tutorial on setting up an Azure Data Factory pipeline.
-
Explore different data connectors and activities available in Azure Data Factory.
-
Practice creating a simple data pipeline using Azure Data Factory.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Hands-on Practice with Azure Databricks Notebooks
Show steps
Provides hands-on experience in working with Azure Databricks Notebooks, enabling you to apply data engineering concepts in practice.
Browse courses on
Azure Databricks
Show steps
-
Set up an Azure Databricks workspace and create a notebook.
-
Write Spark SQL queries to read and transform data.
-
Utilize Spark MLlib for data analytics and machine learning.
Design and Implement a Data Pipeline
Show steps
Allows you to apply the concepts covered in the course by designing and implementing a real-world data pipeline from scratch.
Show steps
-
Define the data sources and the desired data transformation.
-
Design the data pipeline architecture using Azure Data Factory.
-
Implement the data pipeline using Azure Databricks for data processing.
-
Test and deploy the data pipeline.
-
Write documentation for your data pipeline.
Agile Data Engineering Resources
Show steps
Provides a curated collection of resources to enhance your knowledge of agile data engineering practices.
Show steps
-
Identify relevant articles, tutorials, and white papers.
-
Organize the resources into a structured folder or document.
-
Annotate and summarize the key takeaways.
Mentor Junior Data Engineers
Show steps
Enhances your understanding by reinforcing concepts and sharing knowledge with others.
Show steps
-
Volunteer as a mentor for students or junior data engineers.
-
Provide guidance on data engineering principles and best practices.
-
Review their work and offer constructive feedback.
Connect with Experienced Cloud Engineers
Show steps
Provides opportunities to seek guidance from experts in the field, broadening your perspective and expanding your knowledge base.
Show steps
Show steps
Show steps
- Attend industry events and meetups.
- Connect with professionals on LinkedIn.
- Reach out to experts in your field via email or social media.
- Ask for advice and mentorship opportunities.
Review Data Engineering Essentials
Show steps
Refreshes essential data engineering concepts to strengthen foundational understanding for this course.
Browse courses on
Data Engineering
Show steps
Show steps
Show steps
- Revisit principles of data modeling and data warehousing.
- Review techniques for data integration and transformation.
- Explore different data engineering tools and platforms.
Introduction to Azure Data Factory
Show steps
Provides a quick overview of Azure Data Factory, its features, and how it's used for data integration and transformation.
Browse courses on
Azure Data Factory
Show steps
Show steps
Show steps
- Follow a step-by-step tutorial on setting up an Azure Data Factory pipeline.
- Explore different data connectors and activities available in Azure Data Factory.
- Practice creating a simple data pipeline using Azure Data Factory.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Hands-on Practice with Azure Databricks Notebooks
Show steps
Provides hands-on experience in working with Azure Databricks Notebooks, enabling you to apply data engineering concepts in practice.
Browse courses on
Azure Databricks
Show steps
Show steps
Show steps
- Set up an Azure Databricks workspace and create a notebook.
- Write Spark SQL queries to read and transform data.
- Utilize Spark MLlib for data analytics and machine learning.
Design and Implement a Data Pipeline
Show steps
Allows you to apply the concepts covered in the course by designing and implementing a real-world data pipeline from scratch.
Show steps
Show steps
Show steps
- Define the data sources and the desired data transformation.
- Design the data pipeline architecture using Azure Data Factory.
- Implement the data pipeline using Azure Databricks for data processing.
- Test and deploy the data pipeline.
- Write documentation for your data pipeline.
Agile Data Engineering Resources
Show steps
Provides a curated collection of resources to enhance your knowledge of agile data engineering practices.
Show steps
Show steps
Show steps
- Identify relevant articles, tutorials, and white papers.
- Organize the resources into a structured folder or document.
- Annotate and summarize the key takeaways.
Mentor Junior Data Engineers
Show steps
Enhances your understanding by reinforcing concepts and sharing knowledge with others.
Show steps
Show steps
Show steps
- Volunteer as a mentor for students or junior data engineers.
- Provide guidance on data engineering principles and best practices.
- Review their work and offer constructive feedback.
Career center
Learners who complete Azure Data Engineer con Databricks y Azure Data Factory will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
Data Engineers design data management systems to meet an organization's specific needs. They ensure data pipelines are efficient and reliable and develop tools and processes to improve data quality and accessibility. This course in Azure Data Factory and Azure Databricks will help you build a strong foundation in data engineering, providing you with the skills and knowledge needed to succeed in this role.
Data Architect
Data Architect
Data Architects design and manage the overall data architecture for an organization, ensuring that data is managed effectively and efficiently. They work closely with other technical professionals to develop and implement data management solutions. This course in Azure Data Factory and Azure Databricks will provide you with a comprehensive understanding of data architecture concepts and best practices, helping you to excel in this role.
Database Administrator
Database Administrator
Database Administrators are responsible for managing and maintaining an organization's databases, ensuring that they are running smoothly and efficiently. They also work with other technical professionals to develop and implement database solutions. This course in Azure Data Factory and Azure Databricks will provide you with a solid understanding of database administration concepts and best practices, helping you to succeed in this role.
Data Analyst
Data Analyst
Data Analysts collect, analyze, and interpret data to help businesses make informed decisions. They use a variety of tools and techniques to extract insights from data and communicate their findings to stakeholders. This course in Azure Data Factory and Azure Databricks will provide you with the skills and knowledge needed to succeed in this role, helping you to develop a strong foundation in data analysis and visualization.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to help businesses make better decisions. They collect, analyze, and interpret data to identify trends and patterns, and then use this information to develop recommendations and strategies. This course in Azure Data Factory and Azure Databricks will provide you with the skills and knowledge needed to succeed in this role, helping you to develop a strong foundation in business intelligence and data analysis.
Data Scientist
Data Scientist
Data Scientists use data to solve complex business problems. They develop and implement machine learning models to predict outcomes and identify opportunities. This course in Azure Data Factory and Azure Databricks will provide you with a solid foundation in data science and machine learning, helping you to succeed in this role.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design and develop machine learning models. They work closely with other technical professionals to implement and deploy these models into production. This course in Azure Data Factory and Azure Databricks will provide you with a solid foundation in machine learning and data engineering, helping you to succeed in this role.
Software Engineer, Data
Software Engineer, Data
Software Engineers, Data develop and maintain software systems that manage and process data. They work closely with other technical professionals to design and implement data solutions. This course in Azure Data Factory and Azure Databricks will provide you with a solid foundation in software engineering and data management, helping you to succeed in this role.
Cloud Architect
Cloud Architect
Cloud Architects design and manage cloud computing systems. They work closely with other technical professionals to develop and implement cloud solutions. This course in Azure Data Factory and Azure Databricks will provide you with a solid foundation in cloud computing and data management, helping you to succeed in this role.
DevOps Engineer
DevOps Engineer
DevOps Engineers work to bridge the gap between development and operations teams. They help to automate and streamline the software development process, and ensure that software is deployed and maintained efficiently. This course in Azure Data Factory and Azure Databricks will provide you with a solid foundation in DevOps and data management, helping you to succeed in this role.
Data Integration Engineer
Data Integration Engineer
Data Integration Engineers design and implement data integration solutions. They work closely with other technical professionals to move data between different systems and applications. This course in Azure Data Factory and Azure Databricks will provide you with a solid foundation in data integration and data management, helping you to succeed in this role.
ETL Developer
ETL Developer
ETL Developers design and develop ETL (extract, transform, load) processes. They work closely with other technical professionals to move data between different systems and applications. This course in Azure Data Factory and Azure Databricks will provide you with a solid foundation in ETL development and data management, helping you to succeed in this role.
Data Warehouse Developer
Data Warehouse Developer
Data Warehouse Developers design and develop data warehouses. They work closely with other technical professionals to build and maintain data warehouses that store and manage large amounts of data. This course in Azure Data Factory and Azure Databricks will provide you with a solid foundation in data warehousing and data management, helping you to succeed in this role.
Data Governance Analyst
Data Governance Analyst
Data Governance Analysts work to ensure that data is used in a consistent and ethical manner. They develop and implement data governance policies and procedures, and work with other technical professionals to ensure that data is managed in accordance with these policies. This course in Azure Data Factory and Azure Databricks will provide you with a solid foundation in data governance and data management, helping you to succeed in this role.
Data Privacy Analyst
Data Privacy Analyst
Data Privacy Analysts work to ensure that data is used in a compliant and ethical manner. They develop and implement data privacy policies and procedures, and work with other technical professionals to ensure that data is managed in accordance with these policies. This course in Azure Data Factory and Azure Databricks may be useful for those looking to enter this field as it provides a solid foundation in data management and data privacy principles.
For more career information including salaries, visit:
OpenCourser.com/course/x2lycz/azure
Reading list
We've selected six 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
Azure Data Engineer con Databricks y Azure Data Factory.
Este libro proporciona una visión general de las herramientas de Azure Data Factory y Azure Databricks, cubriendo aspectos como la integración de datos, la transformación y el análisis.
Este libro presenta Power Query, una herramienta poderosa para la transformación y el modelado de datos, que complementa Azure Data Factory para tareas de preparación de datos.
Este libro clásico proporciona una base fundamental para el diseño y la implementación de almacenes de datos dimensionales, que es un tema relevante para el modelado de datos en Azure Data Factory.
Este libro proporciona una base sólida en Python para el análisis de datos, incluyendo técnicas de manipulación de datos, visualización y aprendizaje automático, que pueden ser útiles para trabajar con Azure Databricks.
Este libro autorizado ofrece una descripción técnica en profundidad de Apache Spark, que proporciona una comprensión más profunda de la plataforma para usuarios avanzados de Azure Databricks.
Este libro se enfoca específicamente en Azure Data Factory, brindando una guía detallada para la creación y administración de canalizaciones de datos.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/x2lycz/azure
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Effort
2 horas
Level
Advanced
Via
Coursera
Institution
Coursera Project Network
Instructor
Leire Ahedo
Language
Español
Good to know
El curso ofrece una experiencia de aprendizaje práctica y efectiva para dominar Azure Data Factory y Azure Databricks desde cero
Orientado a profesionales que deseen desarrollar sus habilidades en integración de datos y análisis avanzado
Explora herramientas y tecnologías esenciales para el procesamiento y análisis de datos a gran escala
Dirigido por instructores experimentados en el campo de la ingeniería de datos
Perfecto para quienes buscan fortalecer sus habilidades prácticas en integración y análisis de datos
Requiere conocimientos previos en conceptos básicos de bases de datos y programación
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