Hadoop Tutorial and Resources

Hadoop is a collection of open-source frameworks that compute large volumes of data, often termed 'big data,' using a network of small computers. It's an open-source application developed by Apache and used by Technology companies worldwide to get meaningful insights from large volumes of Data. It uses the MapReduce programming model to process the Big mentioned above Data.

Therefore, learning Hadoop Application requires understanding 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 instead of manual intervention every time failure occurs. Hadoop consists of two main parts, viz. The storage part is called the Hadoop Distributed File System (HDFS), and the Processing part is called the MapReduce Programming Model.

What do we need to learn about Hadoop?

We are generating excessive data every second across the globe and organizations. However, the RDBMS system of the database management system 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 daily!

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. Hadoop is one of the most sought-after skills companies are looking for when hiring.

Applications of Hadoop

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

Businesses and Organizations use Hadoop to track and 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 use Hadoop to track data like people's 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 their server logs for breaches in Real-Time. It can also detect the reason for the breach and provide various insights to make security systems more robust.
New technologies mostly available through smartphones and smart devices like Geotagging and motion sensors can also generate enormous data, which can then be stored and processed by Hadoop, giving meaningful insights like tracking location and health information like heart rate, and blood sugar, etc. Breakthroughs have and will take place because of insights from processing such large data sets.

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 that also facilitate them to trade at a fraction of a second.

Prerequisite

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

Target Audience

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