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 .

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Explore the Hadoop Course Catalog

Status: Free Trial
Google Cloud
Building Batch Data Pipelines on GCP en Español
Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Extract, Transform, Load, Data Processing, Apache Hive, Data Integration, Apache Spark, PySpark, Serverless Computing, Apache Hadoop, Big Data, Data Migration, Data Transformation, Performance Tuning
4.6
Rating, 4.6 out of 5 stars
45 reviews
Intermediate · Course · 1 - 3 Months
Google Cloud
Machine Learning with Spark on Google Cloud Dataproc
Skills you'll gain: Apache Spark, Google Cloud Platform, Predictive Modeling, Big Data, Applied Machine Learning, Cloud Computing, Statistical Modeling
Intermediate · Project · Less Than 2 Hours
Google Cloud
Dataproc: Qwik Start - Command Line
Skills you'll gain: Apache Spark, Google Cloud Platform, Data Processing, Apache Hadoop, Big Data, Cloud Computing, Scalability, System Configuration
Beginner · Project · Less Than 2 Hours
Status: Free Trial
University of Illinois Urbana-Champaign
Cloud Computing Concepts, Part 1
Skills you'll gain: Distributed Computing, NoSQL, Operating Systems, Apache Cassandra, Cloud Computing, Systems Design, Data Storage Technologies, Apache Hadoop, Database Theory, Algorithms, Theoretical Computer Science, Scalability, C++ (Programming Language), Network Protocols
4.3
Rating, 4.3 out of 5 stars
1.1K reviews
Beginner · Course · 1 - 3 Months
Google Cloud
Creating a Streaming Data Pipeline With Apache Kafka
Skills you'll gain: Apache Kafka, Data Pipelines, Google Cloud Platform, Java, Public Cloud
3.8
Rating, 3.8 out of 5 stars
27 reviews
Beginner · Project · Less Than 2 Hours
Status: Free Trial
Universidad Nacional Autónoma de México
Relational database systems
Skills you'll gain: Database Systems, Relational Databases, Database Management, SQL, Databases, Database Design, Information Systems, MySQL, Query Languages, Data Modeling, Transaction Processing, MySQL Workbench, Information Systems Security, Performance Tuning, Conceptual Design
4.4
Rating, 4.4 out of 5 stars
451 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Edureka
PySpark in Action: Hands-On Data Processing
Skills you'll gain: PySpark, Apache Spark, Apache Hadoop, Data Processing, Big Data, Pandas (Python Package), Data Manipulation, SQL, Data Transformation
3
Rating, 3 out of 5 stars
7 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
University of Washington
Data Manipulation at Scale: Systems and Algorithms
Skills you'll gain: Big Data, Relational Databases, Database Systems, Dataflow, Data Science, Data Manipulation, Data Processing, NoSQL, Apache Spark, Analytics, Distributed Computing, Apache Hadoop, SQL, Data Analysis, Query Languages, Cloud Computing, Scalability, Graph Theory, Algorithms
4.3
Rating, 4.3 out of 5 stars
767 reviews
Mixed · Course · 1 - 3 Months
Google Cloud
Leveraging Unstructured Data with Cloud Dataproc on Google Cloud em Português Brasileiro
Skills you'll gain: Google Cloud Platform, Big Data, Apache Spark, Apache Hadoop, Jupyter, PySpark, Cloud Storage, Cloud Services, Apache Hive, Data Processing, Unstructured Data, Natural Language Processing, Distributed Computing, Command-Line Interface
4.6
Rating, 4.6 out of 5 stars
13 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Google Cloud
Building Batch Data Pipelines on GCP 日本語版
Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Extract, Transform, Load, Data Processing, Data Transformation, Big Data, Apache Spark, Apache Hadoop, Cloud Storage
4.4
Rating, 4.4 out of 5 stars
29 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
University of Washington
Machine Learning: Clustering & Retrieval
Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Big Data, Statistical Inference, Text Mining, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Sampling (Statistics), Scalability, Probability Distribution, Algorithms
4.7
Rating, 4.7 out of 5 stars
2.4K reviews
Mixed · Course · 1 - 3 Months
Google Cloud
Distributed Image Processing in Cloud Dataproc
Skills you'll gain: Apache Spark, PySpark, Google Cloud Platform, Cloud Management, Distributed Computing, Package and Software Management
Intermediate · Project · Less Than 2 Hours

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

Building Batch Data Pipelines on GCP en Español: Google Cloud
Machine Learning with Spark on Google Cloud Dataproc: Google Cloud
Dataproc: Qwik Start - Command Line: Google Cloud
Cloud Computing Concepts, Part 1: University of Illinois Urbana-Champaign
Creating a Streaming Data Pipeline With Apache Kafka: Google Cloud
Relational database systems: Universidad Nacional Autónoma de México
PySpark in Action: Hands-On Data Processing: Edureka
Data Manipulation at Scale: Systems and Algorithms: University of Washington
Leveraging Unstructured Data with Cloud Dataproc on Google Cloud em Português Brasileiro: Google Cloud
Building Batch Data Pipelines on GCP 日本語版: Google Cloud

Hadoop Courses Online