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.

What are the benefits of taking an online Hadoop course?

Online Hadoop courses offer a convenient and flexible way to enhance your knowledge or learn new Hadoop skills. Choose from a wide range of Hadoop courses offered by top universities and industry leaders tailored to various skill levels.

What Hadoop courses are best for training and upskilling employees or the workforce?

When looking to enhance your workforce's skills in Hadoop, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here .

Top Hadoop Courses - Learn Hadoop Online

Explore the Hadoop Course Catalog

Status: Free Trial
IBM
ETL and Data Pipelines with Shell, Airflow and Kafka
Skills you'll gain: Extract, Transform, Load, Apache Airflow, Data Pipelines, Apache Kafka, Data Warehousing, Data Transformation, Data Migration, Web Scraping, Data Integration, Shell Script, Data Processing, Real Time Data, Data Cleansing, Big Data, Performance Tuning, Scalability
4.5
Rating, 4.5 out of 5 stars
412 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
LearnKartS
Apache Kafka
Skills you'll gain: Apache Kafka, Real Time Data, System Monitoring, Performance Tuning, Data Pipelines, Apache Spark, Apache Hadoop, Apache, Big Data, Systems Architecture, Continuous Monitoring, Data Processing, Data Integration, Data Architecture, Middleware, Data Security, Distributed Computing, Scala Programming, Software Architecture, Restful API
4
Rating, 4 out of 5 stars
31 reviews
Beginner · Specialization · 1 - 3 Months
Status: Free Trial
Rice University
Parallel, Concurrent, and Distributed Programming in Java
Skills you'll gain: Apache Kafka, Apache Spark, Apache Hadoop, Distributed Computing, Java Programming, Java, Software Architecture, Systems Architecture, Data Structures, System Programming, Programming Principles, Servers, Application Frameworks, Debugging, Algorithms, Performance Tuning, Network Protocols, Computer Science, Functional Design, Scalability
4.6
Rating, 4.6 out of 5 stars
1.6K reviews
Intermediate · Specialization · 3 - 6 Months
Edureka
Introduction to PySpark
Skills you'll gain: PySpark, Apache Spark, Distributed Computing, Big Data, Apache Hadoop, Data Processing, Data Manipulation, Exploratory Data Analysis, Python Programming
3.7
Rating, 3.7 out of 5 stars
35 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Edureka
PySpark for Data Science
Skills you'll gain: PySpark, Apache Spark, Unsupervised Learning, Data Pipelines, Apache Hadoop, Data Processing, Real Time Data, Big Data, Data Visualization, Distributed Computing, Natural Language Processing, Pandas (Python Package), Data Manipulation, Feature Engineering, Machine Learning, Machine Learning Algorithms, SQL, Data Transformation, Supervised Learning, Text Mining
2.9
Rating, 2.9 out of 5 stars
9 reviews
Intermediate · Specialization · 3 - 6 Months
Google Cloud
Introduction to Cloud Dataproc: Hadoop and Spark on Google Cloud
Skills you'll gain: Apache Spark, Managed Services, Google Cloud Platform, Big Data, Apache Hadoop, Data Management, Servers
4
Rating, 4 out of 5 stars
11 reviews
Beginner · Project · Less Than 2 Hours
Status: Free Trial
Google Cloud
Serverless Data Processing with Dataflow
Skills you'll gain: Dataflow, Data Pipelines, Serverless Computing, Identity and Access Management, Google Cloud Platform, Cloud Security, Performance Tuning, Data Security, CI/CD, Data Processing, Debugging, Real Time Data, System Monitoring, Data Storage Technologies, Unit Testing, Containerization, Disaster Recovery, Data Transformation, Jupyter, JSON
4.1
Rating, 4.1 out of 5 stars
120 reviews
Intermediate · Specialization · 3 - 6 Months
Status: New
Status: Free Trial
IBM
IBM Data Architecture
Skills you'll gain: NoSQL, Data Warehousing, SQL, Apache Hadoop, Extract, Transform, Load, Apache Airflow, Data Security, Linux Commands, Data Migration, Database Design, Data Governance, MySQL, Apache Spark, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Database Architecture and Administration, Data Store
4.6
Rating, 4.6 out of 5 stars
6.6K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
Multiple educators
DeepLearning.AI Data Engineering
Skills you'll gain: Apache Airflow, Data Modeling, Data Pipelines, Data Storage, Data Architecture, Data Transformation, Requirements Analysis, Data Processing, Data Warehousing, Query Languages, Apache Hadoop, Extract, Transform, Load, Data Lakes, Amazon Web Services, File Systems, Apache Spark, Database Systems, Data Integration, AWS Kinesis, Infrastructure as Code (IaC)
4.8
Rating, 4.8 out of 5 stars
448 reviews
Intermediate · Professional Certificate · 3 - 6 Months
Status: Free Trial
IBM
Machine Learning with Apache Spark
Skills you'll gain: Apache Spark, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Data Processing, Extract, Transform, Load, Predictive Modeling, Classification And Regression Tree (CART), Data Transformation, Regression Analysis
4.5
Rating, 4.5 out of 5 stars
99 reviews
Intermediate · Course · 1 - 4 Weeks
IBM
Scalable Machine Learning on Big Data using Apache Spark
Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage, Data Pipelines, Machine Learning Algorithms, Distributed Computing, Data Processing, Exploratory Data Analysis, Statistical Analysis
3.8
Rating, 3.8 out of 5 stars
1.3K reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
University of California San Diego
Big Data Integration and Processing
Skills you'll gain: Apache Spark, Apache Hadoop, Data Integration, Big Data, Data Pipelines, Data Processing, Data Management, NoSQL, Analytics, Splunk, Database Systems, MongoDB, Pandas (Python Package), SQL, PostgreSQL
4.4
Rating, 4.4 out of 5 stars
2.4K reviews
Beginner · Course · 1 - 3 Months