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Nestor Nicolas Campos Rojas
En este proyecto de 1 hora, aprenderás a usar la tecnología de Azure Data Lake Gen2, entender la diferencia con los otros servicios, gestionar los sistemas de archivos y manejar el ciclo de vida de la información para facilitar la gestión automática y eliminación de los datos según regulaciones.
Además, podrás entender cuáles aplicaciones se integran nativamente a Azure Data Lake Gen2.
Register for this course and see more details by visiting:
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What's inside
Syllabus
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Enseña a crear y gestionar lakes de datos con Azure Data Lake Gen2, un servicio especializado en almacenamiento y procesamiento de grandes cantidades de datos
Está dirigido a quienes necesiten almacenar y gestionar grandes cantidades de datos de forma escalable y segura, como científicos de datos, analistas y arquitectos de datos
Requiere conocimientos previos en administración de datos y Azure, lo que puede ser una limitación para principiantes
El instructor, Nestor Nicolas Campos Rojas, es un experto en Azure y análisis de datos, lo que aporta credibilidad al curso
Proporciona una base sólida para comprender los conceptos y prácticas de los lagos de datos
El curso es práctico y ofrece oportunidades para aplicar los conocimientos adquiridos
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Reviews summary
Introducción práctica a data lakes con azure
Según los estudiantes, este curso ofrece una excelente introducción práctica a los Data Lakes con Azure, siendo una visión general clara y concisa. Es ideal para principiantes o profesionales que buscan un entendimiento rápido de los conceptos. Las demostraciones prácticas y la explicación de los conceptos se destacan por su didáctica. Sin embargo, algunos learners con experiencia previa en la nube o en Data Lakes consideran el contenido demasiado básico y desearían una mayor profundidad en ciertos temas, así como más ejercicios prácticos. Dada su corta duración, el curso cumple su propósito como un eficaz primer contacto con la tecnología.
Ideal para principiantes, pero superficial para avanzados.
"El curso es muy introductorio. Si ya tienes algo de experiencia con Azure o data lakes, puede que te resulte demasiado básico."
"Me pareció muy superficial. Aunque es una introducción, esperaba algo más de contenido práctico y menos teoría general."
"Para mí, como principiante absoluto, puede ser un buen primer paso, pero no esperes mucha profundidad."
"Un buen curso para empezar con Azure Data Lake Gen2, cubre lo básico de forma efectiva en poco tiempo."
Los ejemplos prácticos y demos son muy didácticos.
"Los demos fueron muy claros y me ayudaron a entender rápidamente."
"Las demostraciones prácticas son excelentes y me dejaron con ganas de aprender más y profundizar, inmejorable como primer contacto."
"La forma en que desglosan Azure Data Lake Gen2 es muy didáctica, pude seguir todo el proceso sin problemas y ahora entiendo mejor cómo gestionar los datos."
"Encontré muy útil la forma en que se abordaron los aspectos prácticos y cómo se presentó el material del curso."
Una visión general clara y concisa para principiantes.
"Excelente introducción a Data Lakes con Azure. Me gustó mucho el enfoque práctico..."
"En una hora me llevé una idea clara de cómo funciona un data lake en Azure. Lo encontré muy útil y al grano."
"Para mí, es perfecto como introducción; los conceptos se explican de forma muy clara y las demostraciones prácticas son excelentes."
"La inversión de tiempo fue excelente; el proceso para entender Azure Data Lake Gen2 fue didáctico y pude seguirlo sin problemas."
Algunos desean más detalle y ejercicios prácticos.
"Me gustaría que fuera un poco más profundo en algunos temas, como la gestión del ciclo de vida, para poder aplicar en proyectos más complejos."
"Creo que podría beneficiarse de más ejercicios prácticos para reforzar el aprendizaje, aunque en general, cumple con lo que promete."
"El ritmo a veces fue frustrante; aunque es corto, sentí que iba muy rápido por los conceptos y me hubiera gustado más tiempo para asimilar."
"No sentí que aprendiera algo realmente nuevo si ya tenía una base en la nube. Quizás sea solo para alguien sin ningún conocimiento."
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 los Data Lakes con Azure with these
activities:
Organize your course resources
Show steps
Stay organized and improve your learning experience by compiling all course-related materials in one place.
Show steps
-
Create a dedicated folder or workspace for your course materials.
-
Organize your notes, assignments, and other resources within the workspace.
Join a data lake study group
Show steps
Enhance your learning through collaboration by joining a study group focused on data lakes.
Show steps
-
Look for online or offline study groups that align with your interests.
-
Participate regularly in group discussions and activities.
Review data lake concepts
Show steps
Refresh your knowledge of fundamental data lake concepts and prepare for the course content.
Browse courses on
Data Lakes
Show steps
-
Review your previous notes or study materials on data lakes.
-
Explore online resources or articles to reinforce your understanding.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Attend data lake conferences or meetups
Show steps
Expand your knowledge and network by attending industry events focused on data lakes.
Show steps
-
Research upcoming conferences or meetups related to data lakes.
-
Register and attend these events to engage with experts and learn about advancements.
Review the basics of data management
Show steps
Refresh your understanding of data types, structures, and algorithms to strengthen your foundation for data lake concepts.
Browse courses on
Data Management
Show steps
-
Review notes or textbooks on data structures and algorithms.
-
Complete online tutorials or practice problems related to data management.
Explore Azure Data Lake Gen2 tutorials
Show steps
Enhance your understanding of Azure Data Lake Gen2 by following official tutorials and documentation.
Show steps
-
Visit the Microsoft Learn platform and search for Azure Data Lake Gen2 tutorials.
-
Review the documentation on the Azure Data Lake Gen2 website.
-
Complete the hands-on labs provided in the tutorials.
Complete data lake exercises
Show steps
Reinforce your practical skills by working through exercises and scenarios related to data lake operations.
Show steps
-
Find online or offline exercises that focus on data lake concepts.
-
Set aside dedicated time to practice and solve these exercises.
Contribute to open-source data lake projects
Show steps
Gain hands-on experience and broaden your knowledge by participating in real-world data lake projects.
Show steps
-
Search for open-source data lake projects on GitHub or other platforms.
-
Identify an area where you can contribute, such as documentation, bug fixes, or feature enhancements.
-
Create a pull request or submit your contributions to the project.
Assist with data lake projects in your community
Show steps
Apply your skills in a practical setting while contributing to your community by volunteering on data lake projects.
Show steps
-
Reach out to local organizations or nonprofits that work with data.
-
Offer your assistance with data lake tasks or projects.
Organize your course resources
Show steps
Stay organized and improve your learning experience by compiling all course-related materials in one place.
Show steps
Show steps
Show steps
- Create a dedicated folder or workspace for your course materials.
- Organize your notes, assignments, and other resources within the workspace.
Join a data lake study group
Show steps
Enhance your learning through collaboration by joining a study group focused on data lakes.
Show steps
Show steps
Show steps
- Look for online or offline study groups that align with your interests.
- Participate regularly in group discussions and activities.
Review data lake concepts
Show steps
Refresh your knowledge of fundamental data lake concepts and prepare for the course content.
Browse courses on
Data Lakes
Show steps
Show steps
Show steps
- Review your previous notes or study materials on data lakes.
- Explore online resources or articles to reinforce your understanding.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Attend data lake conferences or meetups
Show steps
Expand your knowledge and network by attending industry events focused on data lakes.
Show steps
Show steps
Show steps
- Research upcoming conferences or meetups related to data lakes.
- Register and attend these events to engage with experts and learn about advancements.
Review the basics of data management
Show steps
Refresh your understanding of data types, structures, and algorithms to strengthen your foundation for data lake concepts.
Browse courses on
Data Management
Show steps
Show steps
Show steps
- Review notes or textbooks on data structures and algorithms.
- Complete online tutorials or practice problems related to data management.
Explore Azure Data Lake Gen2 tutorials
Show steps
Enhance your understanding of Azure Data Lake Gen2 by following official tutorials and documentation.
Show steps
Show steps
Show steps
- Visit the Microsoft Learn platform and search for Azure Data Lake Gen2 tutorials.
- Review the documentation on the Azure Data Lake Gen2 website.
- Complete the hands-on labs provided in the tutorials.
Complete data lake exercises
Show steps
Reinforce your practical skills by working through exercises and scenarios related to data lake operations.
Show steps
Show steps
Show steps
- Find online or offline exercises that focus on data lake concepts.
- Set aside dedicated time to practice and solve these exercises.
Contribute to open-source data lake projects
Show steps
Gain hands-on experience and broaden your knowledge by participating in real-world data lake projects.
Show steps
Show steps
Show steps
- Search for open-source data lake projects on GitHub or other platforms.
- Identify an area where you can contribute, such as documentation, bug fixes, or feature enhancements.
- Create a pull request or submit your contributions to the project.
Assist with data lake projects in your community
Show steps
Apply your skills in a practical setting while contributing to your community by volunteering on data lake projects.
Show steps
Show steps
Show steps
- Reach out to local organizations or nonprofits that work with data.
- Offer your assistance with data lake tasks or projects.
Career center
Learners who complete Introducción a los Data Lakes con Azure will develop knowledge and skills
that may be useful to these careers:
Data Architect
Data Architect
A Data Architect designs, builds, and maintains data systems and infrastructure. The Introducción a los Data Lakes con Azure course can help aspiring Data Architects gain a foundational understanding of data lakes, which are an increasingly important part of data architecture. By completing this course, learners will develop a strong foundation in the concepts and principles of data lakes, which will prepare them for success in a role as a Data Architect.
Data Engineer
Data Engineer
A Data Engineer designs, builds, and maintains data pipelines and systems. The Introducción a los Data Lakes con Azure course can help aspiring Data Engineers gain a foundational understanding of data lakes, which are an increasingly important part of data engineering. By completing this course, learners will develop a strong foundation in the concepts and principles of data lakes, which will prepare them for success in a role as a Data Engineer.
Data Analyst
Data Analyst
A Data Analyst collects, analyzes, and interprets data to help businesses make informed decisions. The Introducción a los Data Lakes con Azure course can help aspiring Data Analysts gain a foundational understanding of data lakes, which are an increasingly important part of data analysis. By completing this course, learners will develop a strong foundation in the concepts and principles of data lakes, which will prepare them for success in a role as a Data Analyst.
Data Scientist
Data Scientist
A Data Scientist uses data to build models and algorithms that can be used to solve business problems. The Introducción a los Data Lakes con Azure course can help aspiring Data Scientists gain a foundational understanding of data lakes, which are an increasingly important part of data science. By completing this course, learners will develop a strong foundation in the concepts and principles of data lakes, which will prepare them for success in a role as a Data Scientist.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. The Introducción a los Data Lakes con Azure course can help aspiring Software Engineers gain a foundational understanding of data lakes, which are increasingly being used to store and process data for software applications. By completing this course, learners will develop a strong foundation in the concepts and principles of data lakes, which will prepare them for success in a role as a Software Engineer.
Cloud Engineer
Cloud Engineer
A Cloud Engineer designs, builds, and maintains cloud computing systems. The Introducción a los Data Lakes con Azure course can help aspiring Cloud Engineers gain a foundational understanding of data lakes, which are an increasingly important part of cloud computing. By completing this course, learners will develop a strong foundation in the concepts of data lakes, which will prepare them for success in a role as a Cloud Engineer.
Business Analyst
Business Analyst
A Business Analyst identifies and analyzes business needs and requirements. The Introducción a los Data Lakes con Azure course can help aspiring Business Analysts gain a foundational understanding of data lakes, which are an increasingly important part of business analysis. By completing this course, learners will develop a strong foundation in the concepts and principles of data lakes, which will prepare them for success in a role as a Business Analyst.
Project Manager
Project Manager
A Project Manager plans, executes, and closes projects. The Introducción a los Data Lakes con Azure course may be helpful for aspiring Project Managers who are working on projects that involve data lakes. By completing this course, learners will develop a foundational understanding of data lakes, which will help them to better manage projects that involve data lakes.
Database Administrator
Database Administrator
A Database Administrator designs, builds, and maintains databases. The Introducción a los Data Lakes con Azure course may be helpful for aspiring Database Administrators who are working with data lakes. By completing this course, learners will develop a foundational understanding of data lakes, which will help them to better manage databases that are used to store data lakes.
Data Warehouse Engineer
Data Warehouse Engineer
A Data Warehouse Engineer designs, builds, and maintains data warehouses. The Introducción a los Data Lakes con Azure course may be helpful for aspiring Data Warehouse Engineers who are working with data lakes. By completing this course, learners will develop a foundational understanding of data lakes, which will help them to better manage data warehouses that are used to store data lakes.
Data Governance Analyst
Data Governance Analyst
A Data Governance Analyst develops and implements data governance policies and procedures. The Introducción a los Data Lakes con Azure course may be helpful for aspiring Data Governance Analysts who are working with data lakes. By completing this course, learners will develop a foundational understanding of data lakes, which will help them to better develop and implement data governance policies and procedures for data lakes.
Information Architect
Information Architect
An Information Architect designs and implements information systems. The Introducción a los Data Lakes con Azure course may be helpful for aspiring Information Architects who are working with data lakes. By completing this course, learners will develop a foundational understanding of data lakes, which will help them to better design and implement information systems that use data lakes.
Data Security Analyst
Data Security Analyst
A Data Security Analyst protects data from unauthorized access, use, disclosure, disruption, modification, or destruction. The Introducción a los Data Lakes con Azure course may be helpful for aspiring Data Security Analysts who are working with data lakes. By completing this course, learners will develop a foundational understanding of data lakes, which will help them to better protect data lakes from unauthorized access, use, disclosure, disruption, modification, or destruction.
Big Data Engineer
Big Data Engineer
A Big Data Engineer designs, builds, and maintains big data systems. The Introducción a los Data Lakes con Azure course may be helpful for aspiring Big Data Engineers who are working with data lakes. By completing this course, learners will develop a foundational understanding of data lakes, which will help them to better design, build, and maintain big data systems that use data lakes.
Data Integration Architect
Data Integration Architect
A Data Integration Architect designs and implements data integration solutions. The Introducción a los Data Lakes con Azure course may be helpful for aspiring Data Integration Architects who are working with data lakes. By completing this course, learners will develop a foundational understanding of data lakes, which will help them to better design and implement data integration solutions that use data lakes.
For more career information including salaries, visit:
OpenCourser.com/course/q5eevv/introduccion
Reading list
We've selected five 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 los Data Lakes con Azure.
Provides a comprehensive overview of data lakes. Explains the benefits of data lakes and how to use them to store and process large amounts of data. The book also covers best practices for data lake design and implementation.
Comprehensive guide to Spark, the open-source big data processing engine. It covers the architecture, design, and implementation of Spark, as well as best practices for data lake development.
Comprehensive guide to using Apache Hadoop, the open-source framework for big data processing. It covers topics like Hadoop architecture, programming models, and tools.
Provides a gentle introduction to data lakes. It's a great starting point for anyone new to the field.
Provides a comprehensive overview of dimensional modeling. It valuable reference for anyone who wants to learn more about this topic.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/q5eevv/introduccion
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Effort
60 minutos
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Nestor Nicolas Campos Rojas
Language
Español
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