Top 7 Reasons to Learn Hadoop
Hadoop is a data processing tool used to process large size data over distributed commodity hardware. The trend of Big Data Hadoop market is on the boom and it’s not showing any kind of deceleration in its growth. Today, industries are capable of storing all the data generated at their business at an affordable price just because of Hadoop. Hadoop helps the industry to know their customer’s behavior, customers buying priorities i.e. what they loved the most, and click patterns, etc. Hadoop provides personalized recommendations and personalizes ad targeting features. Companies are generating thousands of petabytes of data every day so the demand for Big Data professionals is very high. Even after a few years, Hadoop will be considered as the must-learn skill for the data-scientist and Big Data Technology. Companies are investing big in it and it will become an in-demand skill in the future.
In today’s era, lots of industry’s are receiving a huge amount of unstructured data from websites like Facebook, E-mails, Instagram, etc. that results in Big Data. Analyzing this massive volume of data cost-effectively, Hadoop is the best solution for this job. Let’s discuss the Top 7 Reasons to learn Hadoop for Big Data.
1. Hadoop is a Doorway to Enter in Big Data Technologies
Hadoop is a cost-efficient tool for solving any Big Data problem. Industries are spending more on their data analytics team. Hadoop consists of a very huge ecosystem that provides us lots of tools for analytics like Pig, Hive, Sqoop, Zookeeper, Map-Reduce, HBase, etc. All the company’s starting from web start-ups to the tech giant requires Hadoop to answer their business logic which ultimately helps them to boost up their revenue. Each tool of the Hadoop ecosystem used over a large spectrum of problems. It doesn’t matter how much new technology comes in the future, Hadoop will always be the major pillar for Big Data technology.
2. Rapid Growth of Big Data Market
Humans are coming closer to the internet at a very fast rate. It means that the volume of data Industries is gathering will increase as time passes because of more users. Industry’s are gradually analyzing the need for this useful information they are getting from their users. It is for sure that the data always tends to an increasing pattern so the company’s are eventually acquiring professionals skilled with Big Data Technologies. According to NASSCOM, India’s Big Data Market will reach 16 billion USD by 2025 from 2 billion USD. The growth of smart devices in India is growing at a very huge rate that will cause growth in the Big Data Market. Since Big Data is growing the demand for Big Data professionals will be high.
3. Lack of Hadoop Professionals
The Data is generated at a very massive rate and Hadoop Big Data market is growing rapidly because of which the demand for skilled Hadoop big data professionals is very high. Learning Hadoop is the main gateway for entering into the Big Data market. It’s never too late to learn a technology until you start learning it. To learn this technology with full of confidence and come out with the flying curves from your carrier.
4. Move to Big Company
In today’s, time Big Data is scaling its need to the upward direction in almost all the industries. Big Data has already covered various public sector and industry sectors like banking, retail, natural resources, government, transportation, healthcare, media, and so on. It means that the companies are focusing on the data and are making big benefits. Companies like the New York Times, Yahoo, Facebook, Walmart, etc all are using Hadoop which results in increasing demand for Hadoop experts.
5. Hadoop has a Better Career Scope
Hadoop has lots of additional tools in it’s an ecosystem that provides Stream processing, Batch processing, Machine learning with help of Mahout, etc. which results in below job profile for a typical Hadoop developer.
- Big Data Architect
- Hadoop Developer
- Data Scientist
- Hadoop Admin
- Data Analyst
- Hadoop Administrator
Hadoop offers jobs opportunity for both freshers and experts. Professionals who are already in the tech industry and are working as an ETL expert, architect, and mainframe experts have an advantage over freshers. In India, The approximate salary for a fresher is 5Lac’s to 6 Lacs per annum, however, a Hadoop expert can earn 45 Lacs to 50 Lacs per annum. Since there is a lack of Hadoop professional the demand for US data professionals will reach 364000 by 2020 according to IBM.
6. Hadoop as a Disruptive Technology
Hadoop is flexible in nature, means it can process all type of structured(MySQL Data), semi-structured(XML, JSON) or unstructured data(Image, Videos) very efficiently. Hadoop provides better resources for Data Warehousing in it, then the traditional data warehousing systems in terms of cost, storage, scalability, and performance. Hadoop has drastically changed the way of processing the data in the data analytics field. Learning Hadoop is not enough for becoming an expert. one should learn all the components Hadoop ecosystem. For eg. Apache HIVE is the best tool for data warehousing which is built on top of Hadoop.
7. Hadoop is a Maturing Technology
Hadoop is evolving so fast with time. The initial release of Hadoop is made available on April 1, 2006. Now we are using Hadoop 3.x which is the latest version. It also has been collaborated with Tableau, HortonWorks, MapR, etc. Apache spark has drastically changed the Hadoop ecosystem by providing faster processing. Apache Spark is made to deal with Iterative and Interactive queries so efficiently which results in improving the data processing capability of Hadoop. Since Hadoop provides multiple solutions for different-different workload it is most accepted in the industry because of its enriched ecosystem.
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