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
Skills you'll gain: Data Management, Databases, Data Architecture, Data Structures, Big Data, Database Theory, SQL, Apache, Database Administration, Extract, Transform, Load, Python Programming, Data Model, Database Application, Data Warehousing, Data Analysis, NoSQL, Data Engineering, Distributed Computing Architecture, Database Design, Operating Systems, System Programming, System Software, Programming Principles, Statistical Programming, Algebra, Computer Architecture, PostgreSQL, Applied Machine Learning, Correlation And Dependence, Feature Engineering, General Statistics, Graph Theory, Machine Learning, Machine Learning Algorithms, Machine Learning Software, Regression, Statistical Analysis, Statistical Machine Learning, Data Visualization, Data Visualization Software, Basic Descriptive Statistics, Exploratory Data Analysis, Cloud Applications, Cloud Computing, Data Science, DevOps, Kubernetes, Leadership and Management, Network Architecture, Network Security, Other Programming Languages, Professional Development, Security Engineering, Algorithms, Computational Logic, Computational Thinking, Computer Networking, Computer Programming, Computer Programming Tools, IBM Cloud, Linux, Mathematical Theory & Analysis, Mathematics, Microarchitecture, Project Management, Security Strategy, Software Architecture, Software Engineering, Strategy and Operations, Theoretical Computer Science
4.6
(41.5k reviews)
Beginner · Professional Certificate · 3-6 Months
IBM Skills Network
Introduction to Big Data with Spark and Hadoop
Skills you'll gain: Apache, Big Data, Data Architecture, Distributed Computing Architecture, Computer Architecture, Data Management, Cloud Applications, Cloud Computing, Data Analysis, Data Warehousing, Database Administration, Databases, DevOps, Extract, Transform, Load, Kubernetes, Network Architecture, Other Programming Languages, SQL
4.4
(191 reviews)
Beginner · Course · 1-3 Months
University of California San Diego
Big Data
Skills you'll gain: Data Management, Big Data, Data Analysis, Exploratory Data Analysis, Probability & Statistics, Distributed Computing Architecture, Machine Learning, Business Analysis, Statistical Programming, Data Science, Graph Theory, Mathematics, Apache, Computer Architecture, Databases, Data Analysis Software, NoSQL, Data Architecture, Machine Learning Algorithms, Business, Data Model, Data Structures, Spreadsheet Software, Data Mining, Python Programming, Data Visualization, SQL, Statistical Machine Learning, Statistical Visualization, Database Application, Information Technology, Cloud Computing, Software As A Service, Applied Machine Learning, Basic Descriptive Statistics, Computer Programming, Correlation And Dependence, Database Administration, Dimensionality Reduction, Feature Engineering, General Statistics, PostgreSQL, Regression, Statistical Analysis, Algorithms, Data Warehousing, Theoretical Computer Science
4.5
(13.5k reviews)
Beginner · Specialization · 3-6 Months
Cloudera
Modern Big Data Analysis with SQL
Skills you'll gain: Data Management, Databases, SQL, Big Data, Statistical Programming, Data Structures, Cloud Computing, Theoretical Computer Science, Apache, Computer Architecture, Distributed Computing Architecture, Cloud Platforms, Human Computer Interaction, Software Engineering, User Experience, Cloud Storage, Computer Programming, Programming Principles, Data Model, Database Administration, Database Design, Database Theory, Data Analysis, Data Warehousing, Database Application
4.8
(1.4k reviews)
Beginner · Specialization · 3-6 Months
Google Cloud
Preparing for Google Cloud Certification: Cloud Data Engineer
Skills you'll gain: Cloud Computing, Computer Architecture, Data Management, Google Cloud Platform, Cloud Platforms, Machine Learning, Big Data, Distributed Computing Architecture, Hardware Design, SQL, Information Technology, Data Science, Apache, Cloud Storage, Extract, Transform, Load, Cloud Engineering, Cloud Management, Databases, Full-Stack Web Development, Python Programming, Web Development, Computer Programming, Statistical Programming, Applied Machine Learning, Computer Science, Computer Networking, Data Analysis, Data Analysis Software, Data Visualization, Data Warehousing, Database Administration, Database Application, Database Theory, Kubernetes, Network Architecture, Operating Systems, Software Framework, System Programming, Theoretical Computer Science, Bayesian Statistics, Business Psychology, Cloud Applications, Cloud Infrastructure, Computational Thinking, Data Architecture, Data Model, Data Structures, Deep Learning, Entrepreneurship, Exploratory Data Analysis, Feature Engineering, General Statistics, Machine Learning Algorithms, Machine Learning Software, Probability & Statistics, Tensorflow
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Intermediate · Professional Certificate · 3-6 Months
IBM Skills Network
NoSQL, Big Data, and Spark Foundations
Skills you'll gain: Big Data, Data Architecture, Apache, Data Management, Databases, NoSQL, Distributed Computing Architecture, Database Theory, Database Administration, Data Structures, Database Application, Data Model, Computer Architecture, Data Analysis, Extract, Transform, Load, Applied Machine Learning, Correlation And Dependence, Feature Engineering, General Statistics, Graph Theory, Machine Learning, Machine Learning Algorithms, Machine Learning Software, Regression, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Database Design, Data Warehousing, SQL, Cloud Applications, Cloud Computing, DevOps, Kubernetes, Network Architecture, Other Programming Languages, Algorithms, Computational Thinking, Computer Networking, Computer Programming, IBM Cloud, Mathematics, Theoretical Computer Science
4.3
(341 reviews)
Beginner · Specialization · 3-6 Months
Google Cloud
Data Engineering, Big Data, and Machine Learning on GCP
Skills you'll gain: Cloud Computing, Data Management, Computer Architecture, Cloud Platforms, Google Cloud Platform, Big Data, Distributed Computing Architecture, Machine Learning, SQL, Apache, Data Science, Hardware Design, Extract, Transform, Load, Cloud Storage, Full-Stack Web Development, Web Development, Databases, Information Technology, Python Programming, Statistical Programming, Computer Networking, Computer Programming, Data Analysis, Data Analysis Software, Data Visualization, Data Warehousing, Database Administration, Database Application, Database Theory, Kubernetes, Network Architecture, Operating Systems, Software Framework, System Programming, Theoretical Computer Science, Applied Machine Learning, Bayesian Statistics, Business Psychology, Cloud Applications, Cloud Infrastructure, Computational Thinking, Data Architecture, Data Model, Data Structures, Deep Learning, Entrepreneurship, Exploratory Data Analysis, Feature Engineering, General Statistics, Machine Learning Algorithms, Machine Learning Software, Probability & Statistics, Tensorflow
4.6
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Intermediate · Specialization · 3-6 Months

Searches related to hadoop

hadoop platform and application framework

introduction to cloud dataproc: hadoop and spark on google cloud

introduction to big data with spark and hadoop

In summary, here are 10 of our most popular hadoop courses

IBM Data Engineering: IBM Skills Network
Introduction to Big Data with Spark and Hadoop: IBM Skills Network
Hadoop Platform and Application Framework: University of California San Diego
Big Data: University of California San Diego
Modern Big Data Analysis with SQL: Cloudera
Preparing for Google Cloud Certification: Cloud Data Engineer: Google Cloud
NoSQL, Big Data, and Spark Foundations: IBM Skills Network
Introduction to Big Data: University of California San Diego
Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
Introduction to Cloud Dataproc: Hadoop and Spark on Google Cloud: Google Cloud

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Frequently Asked Questions about 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.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

Filter by

50 results for "hadoop"

IBM Data Engineering

Introduction to Big Data with Spark and Hadoop

Hadoop Platform and Application Framework

Big Data

Modern Big Data Analysis with SQL

Preparing for Google Cloud Certification: Cloud Data Engineer

NoSQL, Big Data, and Spark Foundations

Introduction to Big Data

Data Engineering, Big Data, and Machine Learning on GCP

Introduction to Cloud Dataproc: Hadoop and Spark on Google Cloud

Distributed Programming in Java

Big Data Analysis with Scala and Spark (Scala 2 version)

Searches related to hadoop

In summary, here are 10 of our most popular hadoop courses

Skills you can learn in Software Development

Frequently Asked Questions about Hadoop

What is Hadoop?‎

What are typical careers that use Hadoop?‎

How can online courses help me learn Hadoop?‎

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50 results for "hadoop"

Searches related to hadoop

In summary, here are 10 of our most popular hadoop courses

Skills you can learn in Software Development

Frequently Asked Questions about Hadoop

What is Hadoop?‎

What are typical careers that use Hadoop?‎

How can online courses help me learn Hadoop?‎

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