Hadoop is an open-source software utility for storing data and running applications on clusters of commodity hardware. It procures very large storage for any kind of data, enormous processing power and the capacity to control virtually limitless concurrent tasks or jobs. It is based on the Google File System or GFS built by Google.
Hadoop is made up of components such as:
1. Hadoop Distributed File System (HDFS), the bottom layer component for storage. HDFS breaks up files into chunks and distributes them across the nodes of the cluster.
2. Yarn for job scheduling and cluster resource management.
3. MapReduce for parallel processing.
4. Common libraries needed by the other Hadoop subsystems.
Hadoop runs small software on distributed systems with thousands of nodes with petabytes of data and information. It has a distributed file system, called Hadoop Distributed File System or HDFS, which enables fast data transfer among the nodes.
Hadoop controls costs by storing data more affordable per terabyte than other platforms. Hadoop delivers compute and storage for hundreds of dollars per terabyte, instead of thousands to tens of thousands of dollars per terabyte.
Hadoop has moved far beyond its beginnings in web indexing and is now used in many industries for a huge variety of tasks that all share the common theme of high variety, volume, and velocity of data — both structured and unstructured.
Hadoop has fault tolerance and doesn’t get to corrupt data when something fails. Also, if each node experience high rates of failure when running jobs on a large cluster, data is replicated across a cluster so that it can be recovered easily in the face of the disk, node, or rack failures.
Example of what can be built with Hadoop:
Search — Yahoo, Amazon, Zvents
Log processing — Facebook, Yahoo
Data Warehouse — Facebook, AOL
Video and Image Analysis — New York Times, Eyealike
1. It helps reduces the costs of data storage and management.
2. Hadoop infrastructure has inbuilt fault tolerance features and hence, Hadoop is highly reliable.
3. Hadoop is an open source software and hence there is no licensing cost.
4. Hadoop has the inbuilt capability of integrating seamlessly with cloud-based services and thus helps a lot in scaling.
5. Hadoop is very flexible in terms of the ability to deal with all kinds of data.
6. It is easier to maintain a Hadoop environment and is economical as well.
7. Hadoop brings better career opportunities and job employment.
In the Full Course you will learn everything you need to know about Hadoop with Diploma Certification to showcase your knowledge and competence
Hadoop - Introduction
Hadoop - Big Data Overview
Hadoop - Big Data Solutions
Hadoop - Environment Setup
Hadoop - HDFS Overview
Hadoop - HDFS Operations
Hadoop - Command Reference
Hadoop - MapReduce
Hadoop - Streaming
Hadoop - Multi-Node Cluster
Hadoop - Exams and Certification
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