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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''hadoop'的 48 個結果

Universitat Autònoma de Barcelona
Big Data – Introducción al uso práctico de datos masivos
您將獲得的技能： Advertising, Algorithms, Analytics, Apache, Apache Hadoop, Artificial Neural Networks, Basic Descriptive Statistics, Big Data, Business Analysis, Business Intelligence, Communication, Computer Architecture, Data Analysis, Data Analysis Software, Data Management, Data Model, Data Structures, Data Visualization, Data Visualization Software, Databases, Dimensionality Reduction, Distributed Computing Architecture, Financial Analysis, General Statistics, Machine Learning, Machine Learning Algorithms, Marketing, Probability & Statistics, Regression, Research and Design, SQL, Scientific Visualization, Software Architecture, Software Engineering, Statistical Machine Learning, Statistical Programming, Theoretical Computer Science, Visual Design, Visualization (Computer Graphics)
4.6
（2.6k 條評論）
Beginner · Specialization · 3+ Months
Universitat Autònoma de Barcelona
Big Data: adquisición y almacenamiento de datos
您將獲得的技能： Business Analysis, SQL, Apache, Statistical Programming, Theoretical Computer Science, Software Architecture, Apache Hadoop, Big Data, Distributed Computing Architecture, Apache Spark, Databases, Computer Architecture, Data Management, Software Engineering, Business Intelligence
4.4
（596 條評論）
Intermediate · Course · 1-3 Months
University of Colorado Boulder
Master of Science in Data Science
您將獲得的技能： Database Application, Mathematics, Econometrics, Theoretical Computer Science, Computer Graphics, Computer Programming, Data Structures, Communication, Databases, Probability & Statistics, Analysis, Software Testing, Data Warehousing, Algorithms, Machine Learning, Machine Learning Algorithms, Business Psychology, Data Clustering Algorithms, SQL, Database Design, Deep Learning, Statistical Programming, Data Visualization, Probability Distribution, Programming Principles, Computer Vision, Data Management, Artificial Neural Networks, Culture, Calculus, Leadership and Management, Writing, Graph Theory, General Statistics
獲得學位
Degree
IBM
NoSQL, Big Data, and Spark Foundations
您將獲得的技能： Apache, Big Data, Cloud Computing, Computational Thinking, Computer Architecture, Computer Networking, Computer Programming, Data Management, Database Administration, Database Application, Database Theory, Databases, Distributed Computing Architecture, IBM Cloud, Kubernetes, Machine Learning, Machine Learning Algorithms, Network Architecture, NoSQL, Probability & Statistics, Python Programming, Regression, SQL, Statistical Programming, Theoretical Computer Science
4.3
（166 條評論）
Beginner · Specialization · 3+ Months

introduction to cloud dataproc: hadoop and spark on google cloud

provisioning and using a managed hadoop/spark cluster with cloud dataproc (command line)

introduction to big data with spark and hadoop

總之，這是我們最受歡迎的 hadoop 門課程中的 10 門

Provisioning and Using a Managed Hadoop/Spark Cluster with Cloud Dataproc (Command Line): Google Cloud
Big Data – Introducción al uso práctico de datos masivos: Universitat Autònoma de Barcelona
Big Data: adquisición y almacenamiento de datos: Universitat Autònoma de Barcelona
Master of Computer Science in Data Science: University of Illinois
Master of Science in Data Science: University of Colorado Boulder
M.Sc. Data Science: IIIT Bangalore
Introduction to Data Analytics: IBM
NoSQL, Big Data, and Spark Foundations: IBM
Spatial Data Science and Applications: Yonsei University
Introducción al Análisis de Datos: IBM

您可以在 Software Development 中學到的技能

關於 Hadoop 的常見問題

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.‎