Introduction to Hadoop
Enroll In Online Hadoop free course and get a completion certificate. Plus, access over 1,000 additional free courses with certificates—just sign up for free!
Ratings
Level
Learning hours
Learners
Skills you’ll Learn
About this course
Data is everywhere. People upload videos, take pictures, use several apps on their phones, search the web, and more. Machines, too, are generating and keeping more and more data. Existing tools are incapable of processing such large data sets. In general, Hadoop and large-scale distributed data processing are rapidly becoming an essential skill set for many programmers. This Hadoop online training will introduce you to Hadoop in terms of distributed systems as well as data processing systems. Hadoop is an open-source framework for writing and running distributed applications that process large amounts of data.
With this Big Data Hadoop online training, you will get an overview of the MapReduce programming model using a simple word counting mechanism along with existing tools that highlight the challenges around processing data at a large scale. Dig deeper and implement this example using Hadoop to gain a deeper appreciation of its simplicity.
A few among India’s highest-rated universities, such as PES University and SRM Institute of Science and Technology, have established a collaboration with Great Learning to provide learners with the best Data Science Master’s Degree Programs. Check here to view more information about the best data science courses and secure a Master’s Degree Certification from these well-esteemed universities post completion of the top Data Science course. Our faculty and mentors are highly experienced professionals in Data Science so that we can provide learners with world-class Data Science training and guide them in becoming successful data scientists in their careers.
Course Outline
What our learners enjoyed the most
Skill & tools
66% of learners found all the desired skills & tools
Ratings & Reviews of this Course
Frequently Asked Questions
What is meant by Hadoop?
Hadoop is an open-source framework for processing, storing, and analyzing massive amounts of distributed unstructured data. It is created to scale up from one server to thousands of machines with a high degree of fault tolerance. Its goal is to scan large data set to produce results through distributing and highly scalable batch processing systems.
Does Hadoop use SQL?
While working with Pig or Hive Hadoop uses SQL because Hadoop Hive is to process to structure and semi-structured data in the form of SQL queries.
Is Hadoop an Operating System?
Hadoop is not an operating system, it is a collection of open-source software utilities which facilitate using a network of so many computers to solve problems consisting of a large amount of data and computation. But Hadoop is going to behave, look and feel like an OS for data centers running cloud applications.
How does Hadoop work?
Hadoop distributed processing for large sets of data over the cluster of commodity servers and works on different machines at the same time. To process different kinds of data, the client provides data and programs to Hadoop. HDFS stores the data, while Mapreduce processes the data and Yarn, Split the task.
Can I learn Hadoop for free?
Yes, you can enroll in this course and learn for free
Recommended Free Masterclasses courses
Related Masterclasses Courses
-
12 weeks · Online
Know More
-
MIT Professional Education
Applied Data Science Program12 Weeks · Live Virtual · Weekdays & Weekend
Know More
-
University of Texas - McCombs
PG Program in Data Science and Business Analytics7 Months · Online · Weekend
Know More
Popular Upskilling Programs
-
University of Texas - McCombs
PG Program in Artificial Intelligence and Machine Learning7 Months · Online · Weekend
Know More
-
MIT Professional Education
No Code AI and Machine Learning: Building Data Science Solutions12 Weeks · Online · Weekend
Learn from MIT FacultyKnow More
-
MIT Professional Education
Applied Data Science Program12 Weeks · Live Virtual · Weekdays & Weekend
Know More
-
12 weeks · Online · Weekend
Learn from MIT FacultyKnow More
-
University of Texas - McCombs
PG Program in Data Science and Business Analytics7 Months · Online · Weekend
Know More
-
University of Texas - McCombs
PG Program in Cloud Computing6 months · Online · Weekend
360° Cloud LearningKnow More
-
University of Texas - McCombs
Post Graduate Program in User Experience Design6 Months · Online
Know More
Hadoop is an open-source software framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It was created by the Apache Software Foundation and is written in Java.
Hadoop provides a reliable and scalable platform for storing and processing large and complex data sets, making it a popular choice for organizations that deal with big data. The Hadoop ecosystem includes several components, including the Hadoop Distributed File System (HDFS) for storing data, MapReduce for processing data, and YARN for managing resources.
Hadoop is used in various industries, such as finance, healthcare, retail, and social media, to gain insights from large and complex data sets. It is also commonly used in fields such as machine learning, data mining, and predictive analytics. With its ability to handle large amounts of data, Hadoop has become an essential tool for organizations to make data-driven decisions and stay ahead in the competition.
Hadoop is used to store and process large and complex data sets that traditional database management systems are not able to handle. It is designed to handle big data in a distributed environment across clusters of computers, providing a reliable, scalable, and cost-effective solution for storing, processing, and analyzing large data sets.
One real-world example of Hadoop being used is in the retail industry. Retail companies generate vast amounts of data from multiple sources such as sales transactions, customer behavior, and supply chain data. Hadoop can be used to store and process this data, and provide valuable insights into customer buying patterns, inventory levels, and market trends. This information can then be used to make informed business decisions, such as adjusting product pricing and optimizing inventory management.
Another example is in the finance industry, where Hadoop can be used to analyze large amounts of financial data, such as stock prices and market trends, to identify investment opportunities and minimize risk. Hadoop can also be used in the healthcare industry to store and process large amounts of patient data and provide insights into disease diagnosis and treatment options.
If you are looking to understand Hadoop and the world of big data, a great learning-free Hadoop course is a great place to start. These courses provide a comprehensive introduction to Hadoop and its components, such as HDFS, MapReduce, and YARN, and how they work together to store, process, and analyze big data. With the help of interactive examples, hands-on exercises, and real-world scenarios, you can develop a solid understanding of Hadoop and start your journey in the world of big data.