We may earn an affiliate commission when you visit our partners.
Nestor Nicolas Campos Rojas
En este proyecto de 1 hora, aprenderás a aplicar buenas prácticas bajo el contexto de procesamiento Big Data, utilizando una de las plataformas más importantes en la actualidad, Databricks, con el lenguaje Spark
Además, podrás analizar las mejores opciones para la manipulación de datos sobre dataframes de Spark.
Register for this course and see more details by visiting:
OpenCourser.com/course/qsxs63/introduccion
What's inside
Syllabus
Introducción a Scala en Big data con Databricks
Al final de este proyecto, tú entenderás y aplicarás las mejores prácticas para procesar datos de forma masiva en un ambiente de Big Data con le lenguaje Scala, específicamente con la tecnología Databricks y Spark.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Especialmente dirigido a aquellos que buscan procesar datos masivos utilizando Scala y Spark en el entorno de Databricks
Ideal para estudiantes y profesionales en el campo del Big Data que buscan mejorar sus habilidades en el procesamiento de datos a gran escala
Requiere conocimientos previos de Scala y Spark, lo que puede ser una barrera para los principiantes absolutos
Save this course
Save Introducción a Scala en Big data con Databricks to your list so you can find it easily later:
Save
Save
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 Scala en Big data con Databricks with these
activities:
Seek Guidance from Industry Experts
Show steps
Connect with professionals in the field of Big Data to gain insights and guidance from experts.
Browse courses on
Big Data
Show steps
-
Identify professionals working in the field of Big Data who have experience with Databricks and Spark.
-
Reach out to these professionals via LinkedIn or email, expressing your interest in learning from their expertise.
-
Arrange virtual or in-person meetings to discuss your learning journey and seek their advice.
Review Course Materials
Show steps
Refresh your understanding and reinforce key concepts by reviewing course materials and organizing your notes.
Browse courses on
Big Data
Show steps
-
Collect all the lecture notes, slides, and assignments from the course.
-
Review the materials, highlighting important concepts and making notes to improve your comprehension.
-
Organize your notes into a structured format for easy reference during and after the course.
Spark Fundamentals Tutorial
Show steps
Familiarize yourself with the basics of Apache Spark, a key technology in this course, by following a guided tutorial.
Browse courses on
Spark
Show steps
-
Find a reputable tutorial on Spark fundamentals.
-
Complete the tutorial, taking notes and practicing the examples provided.
-
Summarize the most important concepts you learned in a short written summary.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Scala Coding Drills
Show steps
Develop proficiency in Scala, the language used in this course for processing Big Data.
Browse courses on
Scala
Show steps
-
Find online coding challenges or exercises for Scala.
-
Solve these challenges to practice your Scala coding skills and improve your understanding of the language.
-
Review your solutions and identify areas where you can improve your code.
Spark SQL Practice
Show steps
Enhance your proficiency in Spark SQL, a key tool for data analysis and transformation in this course.
Browse courses on
Spark
Show steps
-
Find online coding exercises or challenges that focus on Spark SQL.
-
Solve these challenges to practice your Spark SQL skills and improve your understanding of its syntax and operations.
-
Review your solutions and identify areas where you can improve your code.
Databricks Notebook Tutorial
Show steps
Create your own Databricks notebook to enhance your understanding of how to use this platform for data processing.
Browse courses on
Databricks
Show steps
-
Choose a specific data processing task or problem to focus on in your notebook.
-
Create a new Databricks notebook and write code to import the necessary libraries and data.
-
Implement the data processing logic using Spark and Scala, following the best practices learned in the course.
-
Visualize the results of your data processing using charts or graphs.
Collaboration on Data Processing Project
Show steps
Engage with peers to work on a data processing project, fostering collaboration and knowledge sharing.
Browse courses on
Big Data
Show steps
-
Find a group of peers or classmates who are also taking this course.
-
Propose a data processing project that aligns with the course content and interests of the group.
-
Work together to gather data, design the data processing pipeline, and implement it using Spark and Scala.
-
Discuss your findings and insights from the project with your group and the instructor for feedback.
Contribute to Spark Community
Show steps
Engage with the open-source community to enhance your understanding of Spark and contribute to its development.
Browse courses on
Spark
Show steps
-
Explore the Apache Spark community and identify areas where you can contribute.
-
Join the community and participate in discussions, asking questions and offering insights.
-
Submit bug reports or feature requests to improve the Spark platform.
-
Consider contributing code to the Spark project to directly impact its development.
Seek Guidance from Industry Experts
Show steps
Connect with professionals in the field of Big Data to gain insights and guidance from experts.
Browse courses on
Big Data
Show steps
Show steps
Show steps
- Identify professionals working in the field of Big Data who have experience with Databricks and Spark.
- Reach out to these professionals via LinkedIn or email, expressing your interest in learning from their expertise.
- Arrange virtual or in-person meetings to discuss your learning journey and seek their advice.
Review Course Materials
Show steps
Refresh your understanding and reinforce key concepts by reviewing course materials and organizing your notes.
Browse courses on
Big Data
Show steps
Show steps
Show steps
- Collect all the lecture notes, slides, and assignments from the course.
- Review the materials, highlighting important concepts and making notes to improve your comprehension.
- Organize your notes into a structured format for easy reference during and after the course.
Spark Fundamentals Tutorial
Show steps
Familiarize yourself with the basics of Apache Spark, a key technology in this course, by following a guided tutorial.
Browse courses on
Spark
Show steps
Show steps
Show steps
- Find a reputable tutorial on Spark fundamentals.
- Complete the tutorial, taking notes and practicing the examples provided.
- Summarize the most important concepts you learned in a short written summary.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Scala Coding Drills
Show steps
Develop proficiency in Scala, the language used in this course for processing Big Data.
Browse courses on
Scala
Show steps
Show steps
Show steps
- Find online coding challenges or exercises for Scala.
- Solve these challenges to practice your Scala coding skills and improve your understanding of the language.
- Review your solutions and identify areas where you can improve your code.
Spark SQL Practice
Show steps
Enhance your proficiency in Spark SQL, a key tool for data analysis and transformation in this course.
Browse courses on
Spark
Show steps
Show steps
Show steps
- Find online coding exercises or challenges that focus on Spark SQL.
- Solve these challenges to practice your Spark SQL skills and improve your understanding of its syntax and operations.
- Review your solutions and identify areas where you can improve your code.
Databricks Notebook Tutorial
Show steps
Create your own Databricks notebook to enhance your understanding of how to use this platform for data processing.
Browse courses on
Databricks
Show steps
Show steps
Show steps
- Choose a specific data processing task or problem to focus on in your notebook.
- Create a new Databricks notebook and write code to import the necessary libraries and data.
- Implement the data processing logic using Spark and Scala, following the best practices learned in the course.
- Visualize the results of your data processing using charts or graphs.
Collaboration on Data Processing Project
Show steps
Engage with peers to work on a data processing project, fostering collaboration and knowledge sharing.
Browse courses on
Big Data
Show steps
Show steps
Show steps
- Find a group of peers or classmates who are also taking this course.
- Propose a data processing project that aligns with the course content and interests of the group.
- Work together to gather data, design the data processing pipeline, and implement it using Spark and Scala.
- Discuss your findings and insights from the project with your group and the instructor for feedback.
Contribute to Spark Community
Show steps
Engage with the open-source community to enhance your understanding of Spark and contribute to its development.
Browse courses on
Spark
Show steps
Show steps
Show steps
- Explore the Apache Spark community and identify areas where you can contribute.
- Join the community and participate in discussions, asking questions and offering insights.
- Submit bug reports or feature requests to improve the Spark platform.
- Consider contributing code to the Spark project to directly impact its development.
Career center
Learners who complete Introducción a Scala en Big data con Databricks will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts use their deep understanding of data to extract insights that businesses can use to improve their operations, make better decisions, and increase profits. This course can help you develop the skills you need to become a Data Analyst, including data cleaning, data analysis, and data visualization. The course also provides an introduction to the Apache Spark platform, which is a popular tool for big data processing.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain the systems that store and process data. This course can help you develop the skills you need to become a Data Engineer, including data engineering principles, data warehousing, and data pipelines. The course also provides an introduction to the Apache Spark platform, which is a popular tool for big data processing.
Data Scientist
Data Scientist
Data Scientists use their skills in statistics, machine learning, and data analysis to solve business problems. This course can help you develop the skills you need to become a Data Scientist, including data mining, machine learning, and data visualization. The course also provides an introduction to the Apache Spark platform, which is a popular tool for big data processing.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. This course can help you develop the skills you need to become a Software Engineer, including software design, software development, and software testing. The course also provides an introduction to the Apache Spark platform, which is a popular tool for big data processing.
Database Administrator
Database Administrator
Database Administrators design, implement, and maintain databases. This course can help you develop the skills you need to become a Database Administrator, including database design, database administration, and database security. The course also provides an introduction to the Apache Spark platform, which is a popular tool for big data processing.
Business Analyst
Business Analyst
Business Analysts use their skills in data analysis and business intelligence to help businesses make better decisions. This course can help you develop the skills you need to become a Business Analyst, including data analysis, business intelligence, and data visualization. The course also provides an introduction to the Apache Spark platform, which is a popular tool for big data processing.
Financial Analyst
Financial Analyst
Financial Analysts use their skills in finance and data analysis to help businesses make better decisions. This course can help you develop the skills you need to become a Financial Analyst, including financial analysis, data analysis, and data visualization. The course also provides an introduction to the Apache Spark platform, which is a popular tool for big data processing.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models. This course can help you develop the skills you need to become a Machine Learning Engineer, including machine learning, deep learning, and data science. The course also provides an introduction to the Apache Spark platform, which is a popular tool for big data processing.
Data Visualization Specialist
Data Visualization Specialist
Data Visualization Specialists use their skills in data visualization and data analysis to create visualizations that communicate data insights effectively. This course can help you develop the skills you need to become a Data Visualization Specialist, including data visualization, data analysis, and data storytelling. The course also provides an introduction to the Apache Spark platform, which is a popular tool for big data processing.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use their skills in mathematics and statistics to develop and implement quantitative models. This course can help you develop the skills you need to become a Quantitative Analyst, including quantitative analysis, financial modeling, and data analysis. The course also provides an introduction to the Apache Spark platform, which is a popular tool for big data processing.
Actuary
Actuary
Actuaries use their skills in mathematics and statistics to assess risk and uncertainty. This course can help you develop the skills you need to become an Actuary, including actuarial science, risk management, and data analysis. The course also provides an introduction to the Apache Spark platform, which is a popular tool for big data processing.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use their skills in mathematics and statistics to solve problems in a variety of fields. This course can help you develop the skills you need to become an Operations Research Analyst, including operations research, mathematical modeling, and data analysis. The course also provides an introduction to the Apache Spark platform, which is a popular tool for big data processing.
Statistician
Statistician
Statisticians use their skills in statistics and data analysis to solve problems in a variety of fields. This course can help you develop the skills you need to become a Statistician, including statistics, data analysis, and data visualization. The course also provides an introduction to the Apache Spark platform, which is a popular tool for big data processing.
Data Architect
Data Architect
Data Architects design and manage the data architecture of an organization. This course can help you develop the skills you need to become a Data Architect, including data architecture, data governance, and data security. The course also provides an introduction to the Apache Spark platform, which is a popular tool for big data processing.
Data Science Manager
Data Science Manager
Data Science Managers lead teams of data scientists and are responsible for the overall success of data science projects. This course can help you develop the skills you need to become a Data Science Manager, including data science management, project management, and leadership. The course also provides an introduction to the Apache Spark platform, which is a popular tool for big data processing.
For more career information including salaries, visit:
OpenCourser.com/course/qsxs63/introduccion
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
Introducción a Scala en Big data con Databricks.
Esta guía completa proporciona una base sólida en Spark, cubriendo sus fundamentos, API y aplicaciones avanzadas en el contexto de Big Data. Ofrece una valiosa visión general y conocimiento profundo de Spark para comprender y utilizar eficazmente sus capacidades.
Save
Este libro práctico ofrece una introducción integral a Spark, su arquitectura y API. Proporciona ejemplos prácticos y estudios de casos para ayudar a los lectores a aplicar Spark a sus propios proyectos de Big Data.
Save
Este libro ofrece una guía avanzada para optimizar el rendimiento de las aplicaciones Spark. Cubre técnicas de ajuste, optimizaciones de memoria y técnicas de paralelización, lo que lo convierte en un recurso valioso para aquellos que buscan mejorar el rendimiento de sus aplicaciones de Big Data.
Una referencia exhaustiva sobre Spark, que cubre todos los aspectos del motor, desde la arquitectura hasta las API y las mejores prácticas.
Save
Este libro proporciona una colección de recetas prácticas para el lenguaje Scala. Cubre temas comunes y complejos, sirviendo como un recurso útil para desarrolladores que buscan resolver problemas específicos de Scala.
Save
Un libro de texto completo sobre Scala, que cubre todos los aspectos del lenguaje, desde los conceptos básicos hasta las características avanzadas.
Este libro proporciona una introducción integral a Scala, sus características y su uso en el desarrollo de aplicaciones. Sirve como un recurso básico para comprender los fundamentos de Scala y su aplicabilidad al procesamiento de Big Data.
Save
Este libro es una guía rápida para el lenguaje Scala. Cubre los conceptos básicos y las características principales de Scala, lo que lo convierte en un recurso valioso para quienes buscan aprender rápidamente los fundamentos de Scala.
Este libro explora la programación funcional en Scala. Cubre los conceptos y técnicas de programación funcional, lo que lo convierte en una lectura útil para quienes buscan comprender y aplicar la programación funcional en Scala.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/qsxs63/introduccion
Share
Similar courses
Here are nine courses similar to
Introducción a Scala en Big data con Databricks.
Fundamentos TIC para profesionales de negocios: Ciberseguridad e Implicaciones sociales
OpenCourser.com/course/mnv68m/fundamentos
Fundamentos TIC para profesionales de negocios:...
Trabajo en equipo en el ámbito jurídico
OpenCourser.com/course/du04of/trabajo
Trabajo en equipo en el ámbito jurídico
Feminismo, género y política
OpenCourser.com/course/j4xyr0/feminismo
Feminismo, género y política
Pensamiento crítico: toma de decisiones razonadas
OpenCourser.com/course/fg5o6x/pensamiento
Pensamiento crítico: toma de decisiones razonadas
Fotografía en Latinoamérica: historia, imágenes y espacios
OpenCourser.com/course/megjkf/fotografia
Fotografía en Latinoamérica: historia, imágenes y espacios
Pensamiento crítico: toma de decisiones razonadas
OpenCourser.com/course/yfk0er/pensamiento
Pensamiento crítico: toma de decisiones razonadas
La España del Quijote
OpenCourser.com/course/mft7hc/la
La España del Quijote
Fundamentos de fotografía documental
OpenCourser.com/course/nnbl4z/fundamentos
Fundamentos de fotografía documental
Entorno Global y Tendencias de Innovación Tecnológica
OpenCourser.com/course/sjitqp/entorno
Entorno Global y Tendencias de Innovación Tecnológica
Effort
60 minutos
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Nestor Nicolas Campos Rojas
Language
Español
Good to know
Especialmente dirigido a aquellos que buscan procesar datos masivos utilizando Scala y Spark en el entorno de Databricks
Ideal para estudiantes y profesionales en el campo del Big Data que buscan mejorar sus habilidades en el procesamiento de datos a gran escala
Requiere conocimientos previos de Scala y Spark, lo que puede ser una barrera para los principiantes absolutos
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2024 OpenCourser