Hadoop is an important framework for companies dealing with big data, as it allows you to handle data sets that would otherwise be too difficult to manage. If you want to become an expert in this framework, there are plenty of online Hadoop courses that can provide you with the necessary skills. We’ve compiled some of the best courses, classes, and training programs below.
What Is Hadoop?
Hadoop is a popular open-source framework for handling and analyzing data. This framework offers enormous processing power that makes it possible to handle concurrent jobs or tasks through a network of many computers. This allows experts to solve problems involving massive amounts of information that require great processing power.
Why Online Hadoop Courses Are Important for Professional Development
Hadoop has grown in popularity due to its high reliability and ability to process large data sets through simple programming models. If you’re a beginner interested in working with big data, or an advanced data analyst looking to update your skills, an online Hadoop course is a great option. It will provide you with relevant knowledge and practical skills to boost your career in tech.
Should You Attend a Coding Bootcamp to Learn Hadoop?
Yes, you should attend a coding bootcamp to learn Hadoop if you want to master the skill within a few months and enter the workforce quickly. Coding bootcamps offer intensive Hadoop training at a far more affordable cost than traditional universities. A bootcamp also allows for flexible, self-paced learning.
Overview: The Best Online Hadoop Courses, Classes, or Training
The best online Hadoop courses, classes, or training cover the basics of this framework as well as its more advanced features. Hands-on training courses are ideal to ensure that you practice the theory you have learned. Below are some of the best bootcamps, MOOCs, and university courses that teach Hadoop as well as some information about each option.
| Provider | Course | Price | Length | Certificate |
|---|---|---|---|---|
| Coursera | Hadoop Platform and Application Framework | Free | 26 hours | Yes, for the paid version |
| Coursera | Introduction to Big Data with Spark and Hadoop | Free | 12 hours | Yes, for the paid version |
| Drexel University | Business Analytics Certificate | $1355 per credit | 1 Semester | Yes |
| Edureka | Big Data Hadoop Certification Training Course | $499 | 15 days | Yes |
| edX | Big Data, Hadoop, and Spark Basics | Free | 6 weeks | Yes |
| Simplilearn | Big Data Hadoop Certification Training Course | $799 | 90 days | Yes |
| Udacity | Intro to Hadoop and MapReduce By Cloudera | Free | 4 weeks | Yes |
| Udemy | The Ultimate Hands-On Hadoop: Tame your Big Data! | $109.99 | Self-paced | Yes |
| Udemy | Taming Big Data with MapReduce and Hadoop – Hands On! | $89.99 | Self-paced | Yes |
| Udemy | Learn Big Data: The Hadoop Ecosystem Masterclass | $39.99 | Self-paced | Yes |
| Udemy | Big Data and Hadoop for Beginners – with Hands-on! | $99.99 | Self-paced | Yes |
| Udemy | Hadoop Developer In Real World | $199.99 | Self-paced | Yes |
| Udemy | Big Data Hadoop – The Complete Course | $84.99 | Self-paced | Yes |
| Udemy | Cloudera Hadoop Administration | $19.99 | Self-paced | Yes |
| University of Washington | Certificate In Big Data Technologies | $4,437 | 8 months | Yes |
In Detail: The Best Online Hadoop Classes, Courses, or Training
Hadoop Platform and Application Framework | Coursera
- Learning Format: This is a full course and it includes hands-on training
- Level: Beginner
- Subjects Covered: Introduction to Map/Reduce, Introduction to Hadoop Distributed File System (HDFS), Introduction to the Hadoop Stack
This course is ideal for beginners who want to understand different tools used for data analysis and wrangling. The course takes participants through different hands-on examples with the Spark and Hadoop frameworks. Students learn about the basic processes and components of Hadoop software slack, architecture, and execution environment.
This program includes exercises to help students grasp the terms and processes. They learn about how data scientists use techniques and concepts like MapReduce to solve problems in big data.
Key Takeaway: The course involves lots of practical exercises and assignments to help you gain basic knowledge and solidify your skills.
Introduction to Big Data with Spark and Hadoop | Coursera
- Learning Format: This is a full course and it includes hands-on training
- Level: Beginner
- Subjects Covered: Introduction to the Hadoop Ecosystem, big data, Apache Spark
This online course focuses on big data and its application in data analytics. Students learn about the benefits, features, applications, and limitations of big data processing tools. Also, the coursework covers Hive and Hadoop, how they help overcome challenges big data may pose, and how to leverage their benefits.
Key Takeaway: Students learn to use Hadoop and Spark for data analytics with self-paced learning.
Business Analytics Certificate | Drexel University
- Learning Format: This is a full course and it includes hands-on training
- Level: Beginner
- Subjects Covered: Database Analysis and Design for Business, Statistics for Business Analytics, Data Mining for Managers
This certificate program provides students with the ability to source, analyze, and interpret data to be able to make better business decisions. They also learn to use the data to enhance organizational operations and solve complex issues as they arise. The course covers specialized units that touch all skills needed to gather and manage data.
Students also learn about the frameworks used to analyze trends to find useful insights into the external and internal environments in an organization. The program has three sequences for participants to choose from.
Key Takeaway: This certificate is designed for students looking to gain a thorough and in-depth understanding of how to work with big data.
Big Data Hadoop Certification Training Course | Edureka
- Learning Format: This is a full course and it includes hands-on training
- Level: Beginner
- Subjects Covered: Advanced Hadoop MapReduce, understanding big data and Hadoop, advanced Apache HBase
This course focuses on big data, the limitations of traditional solutions for its problems, and how Hadoop can solve most of those problems. Students also learn about the Hadoop architecture, ecosystem, HDFS, MapReduce, and anatomy of file read. The course aims to hone your data analytics skills by giving you an understanding of the Hadoop framework.
The program is fully hands-on and students work on real-life, industry-based projects. Before the course ends, participants will be able to work with the MapReduce framework, understand HDFS, YARN, and Hadoop resource and storage management, and use Flume and Sqoop for data ingestion.
Key Takeaway: Students take part in several hands-on activities using real data to prepare them to become Hadoop developers.
Big Data, Hadoop, and Spark Basics | edX
- Learning Format: This is a full course and it includes hands-on training
- Level: Beginner
- Subjects Covered: Big Data, Hadoop architecture, MapReduce
This course focuses on big data practices and concepts. Students learn about Hive, Hadoop, and Spark and how they are used in organizations to overcome different big data challenges. They also learn about the features, characteristics, limitations, and benefits of big data while covering the most common big data processing tools.
Key Takeaway: This training involves practical work led by industry experts to help students become job-ready.
Big Data Hadoop Certification Training Course | Simplilearn
- Learning Format: This is a full course and it includes hands-on training
- Level: Intermediate
- Subjects Covered: Real-Time data processing, Functional programming, Spark applications
This self-paced learning experience gives students an in-depth knowledge of big data with Hadoop. It includes hands-on training with real-world examples and industry-based projects. The platform offers an integrated lab to allow participants to collaborate. Students begin by mastering Hadoop framework concepts, methodologies, and big data tools.
To enroll in this program, you need to have some basic understanding of SQL and Java. People who also need to brush up on their Java skills can take the Java essentials for the Hadoop course.
Key Takeaway: The course involves lots of hands-on training from industry professionals to prepare participants for real-world projects.
Intro to Hadoop and MapReduce By Cloudera | Udacity
- Learning Format: This is a full course and it includes hands-on training
- Level: Intermediate
- Subjects Covered: What is Big Data? HDFS and MapReduce, MapReduce code
This course is ideal for intermediate learners who have some programming language skills, especially in Python. Those who do not have this skill can enroll in the Introduction to Computer science training provided by Udacity. The coursework of this introduction to Hadoop program covers how the framework recognizes world problems and solves them.
Students also learn about MapReduce and HDFS and their application in data analysis. There are a lot of exercises for students to practice on their own. Some other crucial topics in this program include common problems with big data, and how Apache Hadoop can solve these problems. It contains instructor videos as well.
Key Takeaway: The course contains a lot of exercises and real-time projects to give students hands-on experience.
The Ultimate Hands-On Hadoop: Tame your Big Data! | Udemy
- Learning Format: This is a full course and it includes hands-on training
- Level: Intermediate
- Subjects Covered: using relational data stores with Hadoop, Integrating MySQL with Hadoop, Use Sqoop to import data from MySQL to HDFS/Hive
This self-paced course is for database administrators and data analysts who want to use Hadoop for data analysis. Students learn everything about Hadoop and its distributed systems as well as how the framework is used to solve real-world problems. Successful students get a certificate of completion.
By the end of this course, students will be able to write programs for data analysis on Hadoop using Pig and Spark, manage big data with MapReduce and HDFS, and store data with Hive, Sqoop, Cassandra, MySQL, MongoDB, Presto, Phoenix, and Drill. They also learn to design systems with Hadoop and manage clusters with Zookeeper, YARN, Oozie, Mesos, and Zeppelin.
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Key Takeaway: Students on the paid package receive lifetime access to the course and its updates.
Taming Big Data with MapReduce and Hadoop – Hands On! | Udemy
- Learning Format: Hands-on training
- Level: Beginner
- Subjects Covered: MapReduce, data analysis, Hadoop clusters
This online course focuses on MapReduce and how it is used to analyze datasets. You will learn to use MapReduce to analyze social network data, movie rating data, and run the tool on Hadoop clusters. You will also learn to analyze complex problems with MapReduce jobs.
Students are provided with hands-on activities to help them practice what they have learned. The course is taught by experts in the field so you will be learning the basics and getting a chance to replicate what you are learning.
Key Takeaway: This hands-on course allows you to learn MapReduce and Hadoop fast by building over ten real examples.
Learn Big Data: The Hadoop Ecosystem Masterclass | Data Science Dojo
- Learning Format: This is a full course and it includes hands-on training
- Level: Intermediate
- Subjects Covered: MapReduce, Yarn, Pig, Hive
This course is ideal for database administrators, software engineers, and system administrators that want to focus on big data. It is not a beginner course and you need to have some knowledge of these concepts before enrolling. The curriculum covers some of the most common software in big data, such as realtime and batch processing.
This course gives you the background you need to solve real problems in the industry. By the end, you will be able to install Hortonworks Data Platform and understand Hadoop stack technologies. It is a practical course and students will watch 6 hours of lectures and practice after learning.
Key Takeaway: This course is a great option for software developers and database administrators who want to gain a fundamental understanding of big data.
Big Data and Hadoop for Beginners – with Hands-on! | Udemy
- Learning Format: This is a full course and includes hands-on projects
- Level: Intermediate
- Subjects Covered: Getting Started with Hive, Big Data, Hive Architecture
This is a beginner course though some background knowledge of SQL might come in handy. The course focuses on Hadoop and its complex architectures, components, and how it can be used in big data. Students cover the fundamentals of working with Hadoop to help them get started in the field.
This course provides a comprehensive knowledge of everything you need to work as a big data engineer. The curriculum includes technology trends in big data, the big data market, HDFS, Hadoop’s history, Pig, Hive, and the Hadoop ecosystem. It also includes some hands-on examples to help you to master the course quickly.
Key Takeaway: The program is mostly project-based and equips students with the skills needed to handle real-world projects.
Hadoop Developer In Real World | Udemy
- Learning Format: This is a full course and it includes hands-on training
- Level: Intermediate
- Subjects Covered: History of Hadoop, Working With HDFS, Introduction to Apache Pig
This course is ideal for aspiring Hadoop developers. It focuses on the concepts Hadoop developers need to thrive, including MapReduce, HDFS, Hive, and Apache Pig. It covers troubleshooting, file formats, input formats, optimization, and custom writables.
After learning about basic concepts, students will take part in fun and interesting hands-on projects to replicate what they have learned. Some of the projects include analyzing a dataset of songs to find less known artists, simulating the mutual friend’s functionality using Facebook, and creating ranking pages.
Key Takeaway: The course specializes in providing students with the most relevant skills they will need in the real world working with big data.
Big Data Hadoop – The Complete Course | Udemy
- Learning Format: This is a full course and includes hands-on training
- Level: Beginner
- Subjects Covered: Big Data Concept, HDFS Architecture, Creating a dataset
This course is ideal for complete beginners without any knowledge of Hadoop. The curriculum covers both beginner and advanced levels of Hadoop that can prepare you for a career in data analytics. Some of the topics to expect in this course include MapReduce, HDFS, Hadoop, Apache Hive, YARN, PIG, ZooKeeper, and Impala.
By the end of this course, you will be able to work with Hadoop for big data and be prepared for a certification exam. The course offers hands-on exercises to give you the skills and experience needed for a job in the field,
Key Takeaway: The course allows absolute beginners to learn from subject matter experts and paves the way for a Hadoop certification.
Cloudera Hadoop Administration | Udemy
- Learning Format: This is a full course and it includes hands-on training
- Level: Intermediate
- Subjects Covered: Upgrade Cloudera manager, configuring rack awareness, working with HDFS access control list
This course is for experienced database administrators and Hadoop administrators. Students gain proficiency in Cloudera Hadoop cluster and learn about installation, planning, active directory integration, and configuration. They also learn about Hadoop ecosystems, HDFS access control list, and JDK.
By the end of the course, students will be able to work as Cloudera Hadoop administrators and secure Cloudera Hadoop clusters. The training offers hands-on exercises with real-world challenges to help you to practice what you are learning.
Key Takeaway: This course provides a complete knowledge of how to use Hadoop and Cloudera.
Certificate In Big Data Technologies | University of Washington
- Learning Format: This is a full course that includes hands-on training
- Level: Expert
- Subjects Covered: data engineering, non-relational processing, non-relational processing
To complete this certificate program, you are required to take three courses. The courses explore distributed computing as well as the tools used in storing and processing data for analysis. Students learn to work with data stacks and understand data flow situations to be able to make better business decisions.
Students start by learning the basics of Hadoop and SQL, Spark, MapReduce, and Hive. They also focus on memory processing and batch processing while learning about NoSQL stores and their uses and limitations. Students also learn about big data stacks and their limitations, uses, and advantages and cloud computing, distributed systems, and relational databases.
Key Takeaway: The course is fully hands-on and is designed to help professionals with programming, database, and system administration experience build fundamental knowledge regarding big data.
Online Hadoop Classes, Training, or Courses: Which Is the Right Option?
The decision depends largely on your own learning preference. Online Hadoop training programs and courses offer more immersive training. They are more hands-on and include projects to help you understand the framework and build your portfolio. Classes will typically cover a single topic and are a better option for students looking to focus on a particular skill.
How to Choose the Right Online Hadoop Course, Class, or Training Program
Cost
One factor to consider is cost. There are free online Hadoop courses and paid ones. While you may learn what you need from the free courses, you may not be able to get practical training to solidify your knowledge. An investment might be worthwhile to get the full experience and gain a deep understanding of Hadoop.
Coding bootcamps come in handy in this regard. You can get full practical and theoretical training at a lower price than most traditional degrees, and they will usually offer alternative tuition options so you don’t need to pay upfront to begin learning.
Curriculum
Another important consideration is how up-to-date the curriculum is. The data analytics field is constantly evolving, and new technologies and processes are always being implemented to make the job easier.
A good course should be regularly updated and offer expert guidance on the most relevant technologies and processes, so make sure to do your research so you don’t waste your time with outdated topics if you want to get a job in big data.
Interactive Classes
While remote training is ideal for some, for others it may be difficult to master skills without an instructor on hand. Having interactive classes may help ease this process and offer much-needed interaction, industry insights, and opportunities for feedback.
Generally, interactive learning is better for students because it teaches collaboration skills that are necessary to succeed in the workforce. Find a course that offers group projects and interactive sessions as well as forums for students to share ideas.
Hadoop Course Certificates vs Certifications
Certifications are recognized around the world as they prove that candidates are skilled in the Hadoop framework. Certifications are earned through a third-party independent organization and often require you to pass an examination. Certificates, on the other hand, are often issued by vendors of courses to prove that a person took part in the course.
Importance of Hadoop Certifications
Hadoop certifications can help you to stand out because they show that you have developed the skills needed to thrive in the field. Employers often favor candidates with certifications because they have been vetted by an international organization through an examination. The certification can also increase your earning potential.
Why You Should Take Online Hadoop Courses or Classes
Online Hadoop courses can give introductory training and ease you into more advanced concepts in Hadoop. They cover tools and processes used in the industry to give you real-world experience. You can also take part in exercises and projects to practice what you have learned, which will help you to build a portfolio that you can use to apply for entry-level jobs.
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