Hadoop and it's Important

 

What is Hadoop and Why is it Important

 

 

There are several reasons why Hadoop is an important language. In this blog we will discuss several reasons why you should consider joining a Big DataHadoop Bootcamp. But firstly let us see what is Hadoop?

What is Hadoop?

Hadoop is an open-source software framework used for storing data and running applications on clusters of product hardware. It offers wide storage for any kind of data, enormous processing power and skill to manage virtually limitless concurrent tasks or jobs.

Importance of Hadoop

Let us dive into the importance of Hadoop in the current tech world.

 

1. Managing Big Data

With the domination of data in the current digital era, it is natural that data is churned out in huge volumes and high speed. So the need to manage Big data is wide and volume of unstructured data is increasing at a high rate. So in order to manage this high volume of data one requires big data technologies like Hadoop. As per Google till 2003 everyone was generating 5 exabytes of data. Now we are producing the same every second day. There is an increasing requirement for a solution that can handle this huge amount of data and what fits the requirement, you ask? It is Hadoop to the rescue.

Its robust architecture and economical features are ideal for storing wide amounts of data. One may think it is difficult to learn Hadoop but Big Data Hadoop Bootcamp makes it easy to learn and launch a career in this fast growing field.

 

2. Huge Growth of Big Data Market

As per Forbes Hadoop market is expected to reach $99.31B by next year at a CAGR of 42.1%. Gradually companies are realizing the benefit big data can offer to their business. The big data analytics sector is increasing, and the reach of smart devices in all areas is scaling up the big data market.

 

3. Dearth of Hadoop Professionals

While the Hadoop market is growing exponentially and creating thousands of job opportunities, there is still a huge gap of talented Hadoop professionals to fill the vacant positions. Therefore it is the right time to depict your talent by mastering the technology by opting for Big data Hadoop bootcamp.

 

4. Hadoop for all

Professionals from any stream can easily learn Hadoop and master it. The salaries in the field are high. Even if you are an IT professional, one can easily learn MapReduce programming in java or python. If you are already aware how scripting works then surely you can work on Hadoop ecosystem component-Pig. Hive or drill is another easy aspect to learn for those who know script. So if you are thinking on similar lines, Big data Hadoop bootcamp is the answer.

 

5. Robust Hadoop Ecosystem

Hadoop has a robust and rich ecosystem that serves a wide variety of enterprises. Be it telecom, finance, or web start-ups, everyone uses Hadoop to meet their business requirements.

 

6. Research Tool

It has come out as a strong research tool. It allows an organization to find answers to their business queries and aid them in research and development work. Companies use it to perform analysis, and the same is used for developing a rapport with customers.

Using Big Data techniques can enhance operation effectiveness and efficiency of creating higher revenue. Further it brings a great understanding of the business value and increasing growth. Communications channels between companies can be feasible through data analytics and IT techniques. The enterprises can collect data from customers to increase business.

 

7. Ease of Use

It is interesting to know that the creators of Hadoop have written it in Java and it has the biggest developer community. Hence it is easy to adapt by programmers and offers programming flexibility in other languages like C, C++, Ruby, Python, PERL etc. So if you are acquainted with SQL, it is easy to use HIVE. If you are familiar with scripting then PIG is for you.

The framework can handle all parallel processing of data at the back-end. We do not need to worry about the complexities of distributed processing while coding. We just need to write the driver program, mapper and reducer function. The framework can take care of how data gets stored and processed in a distributed manner.

8. Hadoop is all-pervading

Big data has reached everywhere. It covers all domains like government, banking, transportation, media, natural resources, retail, healthcare, government, and so on. More and more people are getting data-aware, implying they are realising the power of data. Hadoop framework can harness the power of data for improving business.

Popular names such as Walmart, Facebook, New York Times are using Hadoop framework for their companies and therefore, the demand for Hadoop experts is huge. So surely you can consider training via Big Data Hadoop Bootcamp.

 

9. High Salaries

In the current scenario, the demand for big data professionals is high whereas the skilled candidates are less. As per various reports, the average salary for Hadoop skill is $112,000 per annum, and it is 95% higher than average salaries for other job postings.

 

10. A Maturing Technology

Hadoop is continuously evolving. With new versions of Hadoop 3.0, collaboration with HortonWorks, Tableau, MapR and BI has made it a language to be widely considered. Further, the introduction of Spark has enhanced the Hadoop ecosystem. So one can use Hadoop functions in Flink program and can mix Hadoop functions with all the other Flink functions. One can also use Map-Reduce APIs in Flink alongside for changing a line of code.

Therefore the opportunities are immense if you are considering a career in Big Data Hadoop course. So if you are considering launching a successful, future-proof career, then contact the best!