Hadoop Wiki: Why Choose Hadoop as a Profession?

Hadoop is Java-based distributed processing framework, which is used to process and store huge amount of structured or unstructured data and this data is stored on commodity hardware. Hadoop has given a big platform to the organizations, on which they can increase their processing power and handle boundless data. This open source software project is used in the organizations, which have huge amounts of data to analyze both structured and unstructured forms. The best example of the organizations, which use Hadoop is the banks, which need to analyze millions of transactions to draw patterns, while social networks may need to analyze billions of events and the ad-networks may need to analyze millions of clicks to draw any pattern.

This article discusses what Hadoop is, the components of Hadoop and whyone should learn Hadoop or the scope of Hadoop.

What is Hadoop?

As discussed above Hadoop is open source software, which is used to analyze a huge amount of data. Today vast amount of data is available due to social network and for the legacy system; it is quite difficult to analyze this data. Hadoop provides a core platform to structure the data so that it can be analyzed easily. Even before the advent of Big Data Hadoop the data storage was also expensive. Gartner and IBM defined Hadoop as:

Read: An Introduction and Differences Between YARN and MapReduce

Gartner defined Hadoop as “Big Data Hadoop is a Hadoop file system, some utilities, and MapReduce”. MervAdrian defined Hadoop as:

1. H-Hadoop
2. A-And
3. D-Diverse
4. O-Other
5. O-Operating
6. P-Platforms

According to IBM, Hadoop is defined as “Hadoop is a software project, which enables distributed processing of large data sets across clusters of commodity servers and has a very high degree of fault tolerance. The failures and defects can be detected at the application layer in Hadoop”

Various Processes of Hadoop

In Hadoop the single server can be scaled up to numerous servers and thousands of machines, these servers can offer local computation and storage and the basic concepts of Hadoop are listed below:

Read: A Comprehensive Hadoop Big Data Tutorial For Beginners

• HDFS: HDFS is Hadoop Distributed File System which is used to increase the throughput and to provide more data access to the applications.
• Map Reduce Technology: This YARN-based system can implement the parallel processing for the large datasets.
• Hadoop YARN: YARN framework is of Hadoop, which is used to mainly for job scheduling and cluster resources.
• Hadoop Common: Hadoop modules use Java libraries, these libraries are mainly used by Java files and Hadoop scripts.

Among above-listed concepts, MapReduce and HDFS are two basic and essential components of Hadoop. Hadoop is used in various sectors including financial, healthcare, education and many others. Across the globe, the companies have started to migrate the data to Hadoop to increase their efficiency and storage capacity.Following are a few most important characteristics of Hadoop:

These features make Hadoop a system, which is the most beneficial and can be used by any organization to handle unstructured data efficiently. The data can be structured using Hadoop tools and therefore can also be utilized for the analysis so that any decision can be made using the data. Other benefits of Hadoop include stability, certainty, accuracy and the decision making power to the managers of the organization.

Why Learn Hadoop?

At an affordable price, the organizations can store their data with the help of Hadoop. Limitless amount of unstructured data can be processed with the help of Hadoop tools easily and quickly. Nowadays a number of organizations are using Hadoop for data processing and analysis and as a result, the demand for trained and experienced Hadoop professionals has also been increased and it will soon become a must have the skill for the organizations, which are deeply involved in data or big data. Hadoop is an emerging skill and the companies involved in the huge amount of data operations are hiring trained Hadoop professionals. The demand for such professionals is increasing day by day and therefore the professionals are most in-demand in the IT sector. Learning Hadoop can be most advantageous. The use cases of Hadoop are also increasing day by day. Those who want to build their career in IT sector learning Hadoop can provide massive career opportunities for them and long-lasting career as well. The main considerable reasons to learn Hadoop are following:

Read: A Complete List of Sqoop Commands Cheat Sheet with Example

• Better Career Opportunities: Various career opportunities are emerging for the Hadoop professionals across various industries including retailers, agriculture, healthcare, sports, and media. One can host any possible position in Hadoop, which includes Hadoop developer, Data analyst, Hadoop administrator and Data Scientist.
• Learn to exponentially grow technology: Every business, including travelers, hoteliers, Coupon based websites and many other are using Hadoop, as it is quite economical and efficient technology. Companies are helping their clients by providing instant information by processing even a huge amount of data. Apache Hadoop is used extensively to process the boundless data quickly and easily. So learning such technology can be beneficial for the career.
• Increased Number of Jobs: A massive amount of jobs is available for the Hadoop professionals. Many big organizations or CMM Level5 companies require Hadoop professionals. Many jobs listing sites, including Indeed, Glassdoor or Simplyhired.com showsthe highest number of demands of Big Data professionals. It is one of the top 10 in-demand skills as per dice.com job listing website.
• Better Salary: As it is one of the most sought skills, so the organizations also offer abetter salary to the Hadoop professionals and is increased by 11.6%. The organizations are ready to pay better salary packages for the trained and experienced Hadoop professionals. So, where on one side, it is a most sought skill, so, on the other hand, can offer abetter salary for the professionals.

Final Words:

The accelerating growth of big data professionals is creating a big room for both the professionals and the business owners. Hadoop is emerging as an efficient technology for data processing and is exponentially growing. The career opportunities are also increasing for the Hadoop professionals.

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