Why Big Data Hadoop?
Introduction:
Hadoop can be contagious. Its the implementation in one organization can lead to another one elsewhere. Thanks to Hadoop being robust and cost-effective, handling humongous data seems much easier now.
The ability to include HIVE in an EMR workflow is yet another awesome point. It’s incredibly easy to boot up a cluster, install HIVE, and be doing simple SQL analytics in no time. Let’s take a look at why Hadoop can be so incredible.
Here are the few important points for Why Hadoop?
1. Managing Big Data
As we are living in the digital era there is a data explosion. The data is getting generated at a very high speed and high volume. So there is an increasing need to manage this Big Data.
2. Exponential Growth of Big Data Market
“Hadoop Market is expected to reach $99.31B by 2022 at a CAGR of 42.1%” — Forbes
3. Lack of Hadoop Professionals
As we have seen, the Hadoop market is continuously growing to create more job opportunities every day. Most of these Hadoop job opportunities remain vacant due to unavailability of the required skills.
Take a Look: Big Data Training Topics (Hadoop, Big Data Analytics, Spark)
4. Hadoop for all
Professionals from various streams can easily learn Hadoop and become master of it to get high paid jobs. IT professionals can easily learn MapReduce programming in java or python, those who know scripting can work on Hadoop ecosystem component named Pig. Hive or drill is easy for those who know to the script.
5. Robust Hadoop Ecosystem
Hadoop has a very robust and rich ecosystem which serves a wide variety of organizations. Organizations like web start-ups, telecom, financial and so on need Hadoop to answer their business needs.
6. Research Tool
Hadoop has come up as a powerful research tool. It allows an organization to find answers to their business questions. Hadoop helps them in research and development work.
7. Higher Salaries
In the current scenario, there is a gap between demand and supply of Big Data professional. This gap is increasing every day. According to IBM, demand for US data professionals will reach to 364000 by 2022.
Conclusion:
The best way to shine is to have a solid understanding of the skill in which you want to build your career. Online training which is instructor-led is useful for learning Big Data technology. Also, the training with hands-on projects would give a good grip on the technology.
Useful Resource:
Check here for Big Data Training Topics with Real time Practicals, Interview Questions, Certification Details
