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Introducción a Scala en Big data con Databricks
Nestor Nicolas Campos Rojas
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
Read more
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
Read more
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
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Introducción a Scala en Big data con Databricks.
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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
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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
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