Hadoop

Apache Hadoop — What Is YARN | HDFS | MapReduce - Towards Data Science
Hadoop is an open-source, Java-based framework from Apache which is used for storing, processing and analyzing data which are very huge in volume.

Hadoop is used for batch/ offline processing. It is a collection of software utilities which uses a network of many computers to solve problems involving large amounts of data and computation.

Uses of Hadoop

  1. Security and Law Enforcement

The national security agency of the USA uses Hadoop to prevent terrorist attacks, It is used to detect and prevent cyber-attacks. Police forces use big data tools to catch criminals and even predict criminal activity and credit card companies use big data use it to detect fraudulent transactions. Hadoop has a big amount of data that is used to extract meaningful information from this data. A financial company uses these techniques to search the customers.

  1. Customer’s Requirements Understanding

Hadoop’s most important uses are in Customer’s requirement understanding. Many companies like financial, telecom use this technology to find out the customer’s requirement by analysis big amount of data and extracting this important information from these data, social media also uses this technology, it keeps on posting an advertisement on various social media sites to the target customer whenever the user open their social media on browser, Credit card company uses this technology to find out the exact customer for their product, they contact the customer through various way to sell their product ,Many online booking sites keeps the track of users for their previous journey according to this information or based on customer interest they suggest to their customer flights on these basis , Many e-commerce company keeps track of the product which was bought by together, on basis of this they suggest to customer to buy other product when customer trying to buy one of relevant product from that group, for example, mobile back cover, screen guard suggestion on buying of the mobile.

  1. Cities and Countries Improvement

Hadoop is used to development of the country, state, cities by analyzing of data, example traffic jams can be controlled by uses of Hadoop, it used in the development of a smart city, It used to improve the transport of city. It gives proper guidelines for buses, train, and another way of transportation.

  1. Financial Trading and Forecasting

Hadoop is used in the trading field. It has a complex algorithm that scan markets with predefined condition and criteria to find out trading opportunities. It is designed in a way that it can work without human interaction in case nobody present to monitor the things according to end users need this works. Hadoop is used in high-frequency trading. Many trading decisions are taken by algorithm only.

  1. Understanding and Optimizing Business Processes

Another most common reason, why the uses of Hadoop are important is because it is also used in business process.it has optimized the performance of the company in a various way. Retailer can customize their stocks by prediction came from various source like social media google search, various other platforms, on basis of this company can take best decision to improve their business and maximized their profits, radio frequency and geographical positioning system can help to track the product and take proper action to minimized the loss of the company ,it helps to give best-optimized rout for the product transfer from one place to another country and between interstate this helps the company to cost-cutting and improving their performance, Many companies uses this technology to improve their workspace by monitoring the behavior of their employees. It put the sensor into badges of an employee to monitor their interaction with other people of the organization, this helps lots to take HR decision in case of any issue between the employees.

  1. Personal Quantification and Performance Optimization

Hadoop is used to improve personal life, it provides many ways to improve day to day life by monitoring the sleep pattern, morning walk, a whole daily routine of healthy people. By taking of conclusion from all these patterns it helps to improve our lives. Many dating sites currently using Hadoop to find out the people with common interest it helps to find out true love, this is one of a big field in applications of Hadoop. It helps to improve our health by giving guidelines and suggestion.

  1. Improving Healthcare and Public Health

Hadoop is used in the medical field also to improve the public health many health-related applications are based on Hadoop only they monitor day to day activities by this it had a huge amount of public data on the basis of this, it deduces facts which can be used in medicine to improve the health of the country.

  1. Optimizing Machine Performance

Hadoop is used in a mechanical field also it is used to a developed self-driving car by the automation, By the proving, the GPS, camera power full sensors, This helps to run the car without a human driver, uses of Hadoop is playing a very big role in this field which going to change the coming days.

  1. Improving Sports

Hadoop is also used in the sports field, IBM slamTracker is a tool which is used in tennis, video analytics used in football and baseball games to improve the performance of every player, in this day too many sensors are used to improve the performance of the games.

  1. Improving Science and Research

Uses of Hadoop is playing a very important role in science and research field also. Many decision has taken from extraction of a huge amount the relevant data which helps to come on the conclusion easily it helps to find out the output with less effort compared to the earlier time.

Hadoop Distributed File System

HDFS Architecture

HDFS stores very large files running on a cluster of commodity hardware. It works on the principle of storage of less number of large files rather than the huge number of small files. HDFS stores data reliably even in the case of hardware failure. It provides high throughput by providing the data access in parallel.

fault-tolerant

 

HDFS is made for handling large files by dividing them into blocks, replicating them, and storing them in the different cluster nodes. Thus, its ability to be highly fault-tolerant and reliable.


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