Peter Sondergaard of Gartner Research says that Information is the oil of the 21st century, and analytics is the combustion engine. Because like the oil and combustion engine of the 20th century, Information and analytics are responsible for great changes and improvements all around. With the passing of each year, the amount of data being created every day is increasing tremendously and the traditional analytics techniques are unable to keep-up. That is why new techniques like Big Data and Hadoop were invented.
Hadoop is one of the most effective frameworks to handle Big Data or a massive amount of data and computation. It is an open source framework developed by Apache Software Foundation (ASF). It was inspired from papers on “Google File System” and Google’s “MapReduce” algorithm. ASF initially started the development under Apache Nutch but eventually, Hadoop becomes a separate project. It uses distributed and parallel computing to perform all its tasks successfully. The core system of Hadoop includes HDFS (Hadoop Distributed File System), a storage component and MapReduce, a processing component. HDFS allows high data transfer rate and thus enabling faster and efficient processing. Hadoop framework has many additional software packages like Apache Pig, Apache Hive etc.
In the last few years, Hadoop had grown very much and today, companies from all over the world are using it to improve their business. But that is not enough to name Hadoop as a promising career option because many other latest technologies like virtualization, cloud, and AI are also being used by companies all over the world. So, we will explain the main reasons why Hadoop is a promising career option.
Reason 1: High Growth Rate
According to the Global Hadoop Big Data Analytics Market report (2018 – 2023), the hadoop big data analytics market is expected to grow at an annual growth rate (CAGR) of over 40%, during the forecast period (2018 – 2023) (request a sample here). With more than 40% growth, Hadoop can easily outshine all other data-related technologies and become the dominant player in 2023. This growth will also increase the job opportunities in the Hadoop domain by more than 40%. Also, professionals currently working in the Hadoop domain will have good career growth in the upcoming years.
Reason 2: Huge Demand
In the last 5 years, numerous companies have adopted Hadoop in their processes to handle data and get valuable insights. This adoption has created abundant job opportunities all over the world but there are not enough suitable candidates available to fill all those opportunities. The gap between the available opportunities and the available candidates is still large and thus leaving a greater chance for professionals to have a great career in the Hadoop now if they start learning Hadoop immediately.
Reason 3: Better Salary
Hadoop professionals enjoy better salary than most of the software professionals. The reason for this difference is the importance of Hadoop in the output of the business. Learning Hadoop can increase the salary of most of the software professionals. For example, comparing the salary reports of a Software Engineer profession with and without Hadoop skills from Payscale website, we can clearly see that learning Hadoop can increase atleast 25% of the basic salary and it also increases the additional benefits like profit sharing and bonus. This will point out that learning Hadoop is a promising and profitable career option right now.
Reason 4: Diverse opportunities
Hadoop offers a wide range of roles and job opportunities such as Hadoop Administrator, Hadoop Developer, Data Scientists, Research Analysts, and Business Analysts etc. And only Hadoop is the common requirement for all these roles (i.e.) people with different technical backgrounds can also become a Hadoop professional. This diversity helps a lot of professionals to get a job in the Hadoop domain as soon as they learn Hadoop. Therefore, we can easily understand that Hadoop will provide a better career for most of the software professionals regardless of their technical backgrounds.
Reason 5: Easily Adaptable
Hadoop framework supports many programming languages and so software programmers with experience in any programming language can become a Hadoop professional. For example, software programmers with experience in Java and Python can write Hadoop jobs directly and software programmers with experience in scripting languages can choose Apache Pig to write Hadoop jobs and software programmers with experience in SQL can choose Apache Hive to write data queries and perform the analysis. These different options will provide a valuable choice for the software programmers to work in the comfortable environment even after moving to Hadoop domain. So, learning Hadoop is a good career choice for programmers from various domains.
We can list numerous reasons to support naming Hadoop as a promising career option but we feel that the top 5 that are explained briefly above are enough to make you understand that Hadoop is a promising career option. However, choosing the best Hadoop training institute is more important for a better career and immediate job placement. So, always look out for Upshot technologies’ Hadoop training if you ever think about learning Hadoop.