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Nestor Nicolas Campos Rojas
En este proyecto, vas a entender por qué es importante usar DeltaLake en tus proyectos con Spark para potenciar los procesos de Big Data.
Register for this course and see more details by visiting:
OpenCourser.com/course/mayoe0/entendiendo
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What's inside
Syllabus
Entendiendo DeltaLake
En este proyecto, vas a entender por qué es importante usar DeltaLake en tus proyectos con Spark para potenciar los procesos de Big Data.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Dirigido a quienes buscan potenciar sus procesos de Big Data aprovechando DeltaLake en proyectos con Spark
Save this course
Save Entendiendo DeltaLake to your list so you can find it easily later:
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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 Entendiendo DeltaLake with these
activities:
Revisión de conceptos básicos de Spark
Show steps
Revisar los conceptos básicos de Spark ayudará a refrescar los conocimientos necesarios para aprovechar al máximo los procesos de Big Data con DeltaLake.
Browse courses on
Spark
Show steps
-
Revisar la documentación oficial de Spark
-
Resolver ejercicios prácticos de Spark
-
Participar en foros o comunidades de Spark
Tutoriales sobre DeltaLake
Show steps
Seguir tutoriales específicos sobre DeltaLake permitirá comprender sus funcionalidades y ventajas para potenciar los procesos de Big Data.
Show steps
-
Seleccionar tutoriales de fuentes acreditadas
-
Seguir los pasos y ejemplos prácticos
-
Experimentar con conjuntos de datos propios
Show all two activities
Revisión de conceptos básicos de Spark
Show steps
Revisar los conceptos básicos de Spark ayudará a refrescar los conocimientos necesarios para aprovechar al máximo los procesos de Big Data con DeltaLake.
Browse courses on
Spark
Show steps
Show steps
Show steps
- Revisar la documentación oficial de Spark
- Resolver ejercicios prácticos de Spark
- Participar en foros o comunidades de Spark
Tutoriales sobre DeltaLake
Show steps
Seguir tutoriales específicos sobre DeltaLake permitirá comprender sus funcionalidades y ventajas para potenciar los procesos de Big Data.
Show steps
Show steps
Show steps
- Seleccionar tutoriales de fuentes acreditadas
- Seguir los pasos y ejemplos prácticos
- Experimentar con conjuntos de datos propios
Show all two activities
Career center
Learners who complete Entendiendo DeltaLake will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
Data Engineers build, maintain, and manage big data systems. They are responsible for ensuring that data is clean, consistent, and accessible to data analysts and scientists. This course will help you build a strong foundation in DeltaLake, a powerful tool for working with big data. You will learn how to use DeltaLake to manage data lineage, enforce data quality, and optimize performance. This knowledge will be invaluable as you design and implement big data solutions.
Data Architect
Data Architect
Data Architects design and build data management solutions. They are responsible for ensuring that data is organized and accessible in a way that meets the needs of the business. This course will help you build a strong foundation in DeltaLake, a powerful tool for working with big data. You will learn how to use DeltaLake to design and implement scalable, reliable, and secure data management solutions.
Data Scientist
Data Scientist
Data Scientists use data to solve business problems. They are responsible for collecting, analyzing, and interpreting data to identify trends and patterns. This course will help you build a strong foundation in DeltaLake, a powerful tool for working with big data. You will learn how to use DeltaLake to manage data lineage, enforce data quality, and optimize performance. This knowledge will be invaluable as you develop data-driven solutions.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and maintain machine learning models. They are responsible for collecting, cleaning, and preparing data for training models. They also develop and deploy models into production. This course will help you build a strong foundation in DeltaLake, a powerful tool for working with big data. You will learn how to use DeltaLake to manage data lineage, enforce data quality, and optimize performance. This knowledge will be invaluable as you develop and deploy machine learning models.
Data Analyst
Data Analyst
Data Analysts use data to identify trends and patterns. They are responsible for communicating insights to stakeholders in a clear and concise manner. This course will help you build a strong foundation in DeltaLake, a powerful tool for working with big data. You will learn how to use DeltaLake to manage data lineage, enforce data quality, and optimize performance. This knowledge will be invaluable as you analyze data and identify trends.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They are responsible for ensuring that software is reliable, efficient, and secure. This course may be useful for Software Engineers who are interested in working with big data. You will learn how to use DeltaLake to manage data lineage, enforce data quality, and optimize performance.
Database Administrator
Database Administrator
Database Administrators are responsible for managing and maintaining databases. They are responsible for ensuring that databases are reliable, efficient, and secure. This course may be useful for Database Administrators who are interested in working with big data. You will learn how to use DeltaLake to manage data lineage, enforce data quality, and optimize performance.
Cloud Engineer
Cloud Engineer
Cloud Engineers design, build, and maintain cloud computing solutions. They are responsible for ensuring that cloud solutions are reliable, efficient, and secure. This course may be useful for Cloud Engineers who are interested in working with big data. You will learn how to use DeltaLake to manage data lineage, enforce data quality, and optimize performance.
Data Warehouse Engineer
Data Warehouse Engineer
Data Warehouse Engineers design, build, and maintain data warehouses. They are responsible for ensuring that data warehouses are reliable, efficient, and secure. This course may be useful for Data Warehouse Engineers who are interested in working with big data. You will learn how to use DeltaLake to manage data lineage, enforce data quality, and optimize performance.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to identify trends and patterns. They are responsible for communicating insights to stakeholders in a clear and concise manner. This course may be useful for Business Intelligence Analysts who are interested in working with big data. You will learn how to use DeltaLake to manage data lineage, enforce data quality, and optimize performance.
Data Governance Analyst
Data Governance Analyst
Data Governance Analysts are responsible for developing and implementing data governance policies. They are responsible for ensuring that data is used in a consistent and ethical manner. This course may be useful for Data Governance Analysts who are interested in working with big data. You will learn how to use DeltaLake to manage data lineage, enforce data quality, and optimize performance.
Data Security Analyst
Data Security Analyst
Data Security Analysts are responsible for protecting data from unauthorized access, use, disclosure, disruption, modification, or destruction. This course may be useful for Data Security Analysts who are interested in working with big data. You will learn how to use DeltaLake to manage data lineage, enforce data quality, and optimize performance.
Data Privacy Analyst
Data Privacy Analyst
Data Privacy Analysts are responsible for ensuring that data is collected, used, and stored in a compliant manner. This course may be useful for Data Privacy Analysts who are interested in working with big data. You will learn how to use DeltaLake to manage data lineage, enforce data quality, and optimize performance.
Data Ethics Analyst
Data Ethics Analyst
Data Ethics Analysts are responsible for ensuring that data is used in an ethical and responsible manner. This course may be useful for Data Ethics Analysts who are interested in working with big data. You will learn how to use DeltaLake to manage data lineage, enforce data quality, and optimize performance.
Data Quality Analyst
Data Quality Analyst
Data Quality Analysts are responsible for ensuring that data is accurate, complete, consistent, and timely. This course may be useful for Data Quality Analysts who are interested in working with big data. You will learn how to use DeltaLake to manage data lineage, enforce data quality, and optimize performance.
For more career information including salaries, visit:
OpenCourser.com/course/mayoe0/entendiendo
Reading list
We've selected nine 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
Entendiendo DeltaLake.
Provides a comprehensive overview of Apache Spark, including its architecture, programming model, and use cases. It's a good resource for anyone who wants to learn more about Spark and how to use it with Delta Lake.
Save
Este libro proporciona una visión general de los principios y patrones para diseñar aplicaciones intensivas en datos. Aunque no se centra específicamente en Delta Lake, ofrece conocimientos valiosos sobre la gestión de grandes conjuntos de datos y el desarrollo de sistemas escalables.
Save
Provides a hands-on introduction to Apache Spark. It's a good resource for anyone who wants to learn the basics of Spark and how to use it for data analysis.
Provides advanced topics on big data analytics with Apache Spark. It covers a wide range of topics, including machine learning, graph processing, and streaming data.
Este libro proporciona una base sólida en el uso de Python para el análisis de datos. Aunque no se centra en Delta Lake ni en Spark, ofrece conocimientos valiosos sobre el manejo y procesamiento de conjuntos de datos.
Provides a comprehensive overview of data warehousing. It covers a wide range of topics, including data modeling, data integration, and data analysis.
Este libro clásico cubre los principios y técnicas para diseñar y construir almacenes de datos. Aunque no se centra específicamente en Delta Lake, proporciona una base sólida para entender los conceptos de almacenamiento de datos y procesamiento analítico.
Provides a comprehensive overview of Hadoop. It covers a wide range of topics, including data storage, data processing, and data analysis.
Save
Este libro proporciona una introducción general a la ciencia de datos y al análisis de datos a gran escala. Aunque no se centra específicamente en Delta Lake ni en Spark, ofrece una visión general de los conceptos y técnicas relevantes para este curso.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/mayoe0/entendiendo
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Effort
1 hora
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Nestor Nicolas Campos Rojas
Language
Español
Good to know
Dirigido a quienes buscan potenciar sus procesos de Big Data aprovechando DeltaLake en proyectos con Spark
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