Apache Hadoop is a software library operated by the Apache Software Foundation, an open-source software publisher. Hadoop is a framework used for distributed processing of big data, especially across a clustered network of computers. It uses simple programming models and can be used with a single server as well as with installations that involve hundreds or even thousands of machines with their own computation and storage capabilities. The Hadoop software is used to deliver services across a network of computers, any one of which could crash. This is important in data management, machine learning, data warehousing, and other machine-intensive programming applications.

What are typical careers that use Hadoop?

Careers that use Hadoop include computer engineering, computer programming, computer science, and data analysis. Hadoop is typically used in programming and data analysis positions that work with big data. Hence, more and more careers call for an understanding of it. Data management, machine learning, and cloud storage systems run on Hadoop. As more work involves big data, the ability to use Hadoop to collect and analyze it becomes more important. Learning Hadoop will prepare you to use data or to communicate with colleagues who are managing it. Structuring data warehouses and designing management dashboards can improve operations in many types of organizations. Hadoop is specialized, but its use is becoming more widespread.

How can online courses help me learn Hadoop?

Online courses can help you learn Hadoop by introducing you to the basics of it, having you work through exercises and create programs that use it, and seeing how it connects to other parts of the data warehouse. Some courses require no programming experience. Others assume that you understand programming but need specific experience with Hadoop. Some courses are practical, offering hands-on experience and leading to the creations of programs that can be used right away. Others are theoretical and explain the nature of Hadoop and the underlying principles of big data. The courses build on each other, with some leading to Specializations and online degrees.

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IBM Skills Network
IBM Data Engineering
Habilidades que obtendrás: Algorithms, Apache, Big Data, Business Analysis, Cloud Computing, Cloud Engineering, Computational Logic, Computational Thinking, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Data Architecture, Data Engineering, Data Management, Data Model, Data Visualization, Data Visualization Software, Data Warehousing, Database Administration, Database Application, Database Design, Database Theory, Databases, DevOps, Distributed Computing Architecture, Extract, Transform, Load, Graph Theory, Hardware Design, IBM Cloud, Interactive Data Visualization, Kubernetes, Leadership and Management, Machine Learning, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Microarchitecture, Network Architecture, Network Security, NoSQL, PostgreSQL, Professional Development, Programming Principles, Project Management, Python Programming, SQL, Security Engineering, Security Strategy, Software Architecture, Software Engineering, Statistical Programming, Strategy and Operations, Theoretical Computer Science
4.6
(35.9k reseñas)
Beginner · Professional Certificate · 3-6 Months
University of California San Diego
Big Data
Habilidades que obtendrás: Algorithms, Apache, Big Data, Business Analysis, Computer Architecture, Computer Programming, Data Analysis, Data Architecture, Data Management, Data Model, Data Visualization, Data Warehousing, Database Administration, Databases, Distributed Computing Architecture, Exploratory Data Analysis, General Statistics, Graph Theory, Machine Learning, Machine Learning Algorithms, Mathematics, NoSQL, PostgreSQL, Probability & Statistics, Python Programming, Regression, SQL, Statistical Classification, Statistical Programming, Theoretical Computer Science
4.5
(13.3k reseñas)
Beginner · Specialization · 3-6 Months
Cloudera
Modern Big Data Analysis with SQL
Habilidades que obtendrás: Analysis, Apache, Big Data, Cloud Computing, Cloud Platforms, Cloud Storage, Computer Architecture, Computer Programming, Data Management, Data Model, Data Structures, Database Application, Database Design, Databases, Distributed Computing Architecture, Human Computer Interaction, Programming Principles, SQL, Software Engineering, Statistical Programming, Theoretical Computer Science, User Experience
4.8
(1.3k reseñas)
Beginner · Specialization · 3-6 Months
Universitat Autònoma de Barcelona
Big Data – Introducción al uso práctico de datos masivos
Habilidades que obtendrás: Accounting, Advertising, Algorithms, Apache, Apache Spark, Artificial Neural Networks, Basic Descriptive Statistics, Big Data, Business Analysis, Business Intelligence, Business Psychology, Cloud Computing, Cloud Platforms, Communication, Computer Architecture, Data Analysis, Data Analysis Software, Data Management, Data Structures, Data Visualization, Data Visualization Software, Databases, Dimensionality Reduction, Distributed Computing Architecture, Financial Analysis, General Statistics, Graph Theory, Human Resources, Machine Learning, Machine Learning Algorithms, Marketing, Mathematics, NoSQL, Plot (Graphics), Probability & Statistics, Regression, Research and Design, SQL, Scientific Visualization, Software Architecture, Software Engineering, Statistical Machine Learning, Statistical Programming, Theoretical Computer Science, Training, Visual Design, Visualization (Computer Graphics)
4.6
(2.6k reseñas)
Beginner · Specialization · 3-6 Months
Universitat Autònoma de Barcelona
Big Data: adquisición y almacenamiento de datos
Habilidades que obtendrás: Software Architecture, Accounting, Analytics, Data Analysis, Theoretical Computer Science, Mathematics, SQL, Distributed Computing Architecture, Business Analysis, Apache Spark, Graph Theory, Statistical Programming, Computer Architecture, Software Engineering, Business Intelligence, Data Management, Big Data, Financial Analysis, NoSQL, Apache, Databases
4.4
(601 reseñas)
Intermediate · Course · 1-3 Months

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En síntesis, estos son los 10 cursos más populares hadoop

IBM Data Engineering: IBM Skills Network
Introduction to Big Data with Spark and Hadoop: IBM Skills Network
Big Data: University of California San Diego
Modern Big Data Analysis with SQL: Cloudera
Hadoop Platform and Application Framework: University of California San Diego
Foundations for Big Data Analysis with SQL: Cloudera
Big Data – Introducción al uso práctico de datos masivos: Universitat Autònoma de Barcelona
Introduction to Big Data: University of California San Diego
Big Data Analysis Deep Dive: Alibaba Cloud Academy
Introduction to Cloud Dataproc: Hadoop and Spark on Google Cloud: Google Cloud

Habilidades que puedes aprender en Software Development

Lenguaje De Programación (34)

Google (25)

Programa De Computadora (21)

Prueba De Software (21)

Web (19)

Google Cloud Platform (18)

Interfaces De Programación De Aplicaciones (17)

Estructura De Datos (16)

Resolución De Problemas (14)

Programación Orientada A Objetos (13)

Kubernetes (10)

Lista Y Etiqueta (10)

Preguntas frecuentes sobre Hadoop

Apache Hadoop is a software library operated by the Apache Software Foundation, an open-source software publisher. Hadoop is a framework used for distributed processing of big data, especially across a clustered network of computers. It uses simple programming models and can be used with a single server as well as with installations that involve hundreds or even thousands of machines with their own computation and storage capabilities. The Hadoop software is used to deliver services across a network of computers, any one of which could crash. This is important in data management, machine learning, data warehousing, and other machine-intensive programming applications.‎
Careers that use Hadoop include computer engineering, computer programming, computer science, and data analysis. Hadoop is typically used in programming and data analysis positions that work with big data. Hence, more and more careers call for an understanding of it. Data management, machine learning, and cloud storage systems run on Hadoop. As more work involves big data, the ability to use Hadoop to collect and analyze it becomes more important. Learning Hadoop will prepare you to use data or to communicate with colleagues who are managing it. Structuring data warehouses and designing management dashboards can improve operations in many types of organizations. Hadoop is specialized, but its use is becoming more widespread.‎
Online courses can help you learn Hadoop by introducing you to the basics of it, having you work through exercises and create programs that use it, and seeing how it connects to other parts of the data warehouse. Some courses require no programming experience. Others assume that you understand programming but need specific experience with Hadoop. Some courses are practical, offering hands-on experience and leading to the creations of programs that can be used right away. Others are theoretical and explain the nature of Hadoop and the underlying principles of big data. The courses build on each other, with some leading to Specializations and online degrees.‎

Se puso a disposición este contenido de preguntas frecuentes solo con fines informativos. Se les pide a los estudiantes que realicen investigaciones adicionales para asegurarse de que los cursos y otras credenciales cumplan con sus objetivos personales, profesionales y financieros.