Hadoop Tutorial

Hadoop is a collection of the open-source frameworks used to compute large volumes of data often termed as ‘big data’ using a network of small computers. It’s an open-source application developed by Apache and used by Technology companies across the world to get meaningful insights from large volumes of Data. It uses the MapReduce programming model to process the aforesaid Big Data.

Therefore, learning Hadoop Application requires an understanding of Big Data and MapReduce programming tools. The main reason for distributed file storage network using an array of computers is the assumption that hardware failure is inevitable and should be handled by systems themselves instead of manual intervention every time failure occurs. Hadoop consists of two main parts viz. The storage part called the Hadoop Distributed File System (HDFS) and the Processing part called the MapReduce Programming Model.

What do we need to learn Hadoop?

We are generating an exorbitant amount of data every second across the globe and across organizations. RDBMS system of database management systems has failed to store and process such a large amount of data or Big Data. Therefore, organizations have adopted Hadoop architecture to store and process their data which runs in Petabytes for some companies per day!

It stores both structured and Unstructured data and as discussed above it tackles hardware failures without human intervention due to fragmented processing by computers. Also, it processes complex and large sets of data easily and swiftly.

Since almost all of the technology companies and major fortune 500 companies use Apache Hadoop to store and process their Data, it becomes an essential skill to learn for anyone looking to work in any of these companies and in fact Hadoop is one of the most sought-after skill companies are looking for when hiring.

Applications of Hadoop

Some of the best applications of Hadoop application by organizations are,

Businesses and Organizations uses Hadoop to track an analyze the customer activity on their webpages by tracking data like the number of minutes spent on a particular webpage, particular clicks on certain hyperlinks, the amount of average ticket size during a particular day and tons of other valuable information which can then be used to make effective and efficient business decisions.
Social Media Companies uses Hadoop to track data like people likes, shares, comments, etc. to track and analyze consumer preference for their recommendation systems.
It is also used for cybersecurity and threat detection organizations by analyzing in Real-Time their server logs for breach and it can also detect the reason for the breach and provide various insights to make security systems more roust
New technologies mostly available through smartphone and smart devices like Geotagging, motion sensors can also generate enormous data which can then be stored and processed by Hadoop giving meaningful insights like tracking location, health Information like heart rate, blood sugar, etc. Major breakthroughs have and will take place because of insights achieved by processing such large sets of data.

Example

Major financial organizations have started using Hadoop to process big data accumulated by Banks and other Financial and Public institutions to build complex Financial Models, Assess Risks and create complex Trading Algorithms which also facilitates them to trade at a fraction of a second.

Prerequisite

Since Hadoop is a Java-based application, working knowledge of Java is a must. Also, programming knowledge of Python and query language is an advantage.

Target Audience

Anyone who is willing to learn Big Data but specifically for computer science graduates and anyone who is working in Data Management looking to upgrade their skills.