What is Hadoop?
Apache Hadoop is an open source framework designed to handle, store and process Big amounts of data. Data which is huge, complex, unstructured or semi structured and cannot be processed by traditional data processing tools. The 5 V’s define actual nature of BigData that are volume, variety, velocity, variability and veracity. It is an open source framework based on Google paper on Map Reduce. Hadoop is a framework which has made Cluster computing a reality. Hadoop has become one of the most popular platforms for handling big data. Presently Hadoop has limitation in its usage in real time data applications, but with the technology growing daily surely this shortcoming will also end very soon.
How Does It Work?
Hadoop is developed out of Google File System, and it is based on Java language. It has four core components: Hadoop Common, the Hadoop Distributed File System (HDFS) for storage, Hadoop YARN for optimized resource allocation, and Hadoop MapReduce for processing. It splits files into blocks and shares them across nodes in a cluster. The code is distributed across the nodes to process the data in parallel. Thus lot of data can be handled at same time and faster processing of huge data become possible. The Hadoop cluster consists of master nodes and slave or worker nodes. A master node deals with Job Tracker and NameNode. A slave node usually works as DataNode and TaskTracker. The design of Hadoop cluster prevents loss of data and corruption of the file system.
What are its Components?
The Hadoop Distributed File System is at the core and is designed for scalability and portability. The HDFS can store files of several gigabyte or terabyte size across multiple nodes. The data is replicated across multiple machines. HDFS is portable across hardware platforms and operating systems. Hadoop can also be deployed in the cloud making it less costly and more accessible more quickly and with lower setup costs. Most of the major cloud vendors like Google, Hortonworks, Cloudera and many others are offering these services.
Future of Hadoop Applications
Market survey suggests that revenue from the Hadoop market will be worth over $84 billion by 2021.As the number of Internet of Things devices increases, the amount of data will further grow exponentially making greater demand for Hadoop’s processing capabilities. In coming times it will have its impacts on all spheres of life, be it business, services, crime detection, healthcare and so on, Hadoop and big data will have bearing on all aspects of life. The open source nature of Hadoop and its ability to run on commodity hardware means big data processing is going to become more widespread and technology is going to benefit all sections of Society.
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