According to the International Data Corporation, worldwide revenues for big data and business analytics (BDA) solutions are forecast to reach $189.1 billion this year, an increase of 12.0% over 2018. BDA revenues will maintain this pace of growth throughout the 2018-2022 forecast with a five-year compound annual growth rate (CAGR) of 13.2%. By 2022, IDC expects worldwide BDA revenue will be $274.3 billion.
Apache Hadoop, the heart of latest integration of Big Data solutions is an open-source programming software and its ecosystem consists of hardware, software as well as services which are used for mining both structured and unstructured data to extract patterns from it. It is a framework which allows the distributed processing of large data sets across clusters of computers using simple programming models.
Demand For Hadoop Developers In The Industry
Tech giants like IBM, Microsoft, Amazon, and various others are constantly upgrading their products to be in the rat race with the evolution in the field of technology. According to the sources, the Hadoop Market has been forecasted to suppress $16 Billion with $84.6 Billion at a Compound Annual Growth Rate of 58% by 2021.
There is no mandatory rule of pursuing a bachelors in computer background in order to work in the Hadoop domain. You can be a graduate from backgrounds like Statistics, Physics, Electronics, Analytics, etc. Sound knowledge of distributed systems along with the knowledge of some programming languages is the base of learning Hadoop system. Organisations look for candidates who have skilled knowledge of coding into Python, SQL, R, Java as well as Scala. Hadoop framework is used mainly to work with large unstructured data and knowledge in databases like NoSQL will surely lead you one step ahead in your journey.
Essential Skill Set
A basic understanding in Linux operation system can boost your understanding of the Hadoop ecosystem and it will also help you while you work in HDFS (Hadoop Distributed File System). Problem-solving skills are a must that an organisation seeks when you are applying for jobs in this field. The most important components of Hadoop domain are HDFS, YARN (Yet Another Resource Negotiator) and MapReduce and one has to have keen knowledge in these two components. Other skills include the understanding of data warehouse infrastructure, Hive and high-level programming language like Pig. Understanding data mining to maneuver the numerous amount of data is essential in this domain.
Hands-on experience in HiveQL, Pig Latin Scripts are needed while you work around the usage of tools for preprocessing. Experience in visualising data also helps in this domain. Experience in writing high-performance, reliable as well as maintainable code including small projects on Big Data is preferable. Experience in using statistical tools like SAS, R, Matlab, SPSS, etc. adds one more feather to your hat.
Recruiters View While Hiring
Choosing between skills and experience can be a difficult task for recruiters. Some of the organisations seek matured candidates with many years of experience who has previously worked on Big Data projects. While some organisations seek for young candidates with lesser experience but with a bucketful of knowledge in Big Data and Hadoop domain. The recruiters use different sourcing platforms and screening tools like resume screening, candidate screening, background screening, etc.
There are various prominent Hadoop distribution providers such as Cloudera, MapR, IBM, Hortonworks, etc. Hadoop is an emerging technology and many developers, as well as individuals, are taking courses and certifications in order to merge themselves with the fast pace of this technology. One thing to perceive, the more you practice, the more will be your grip into this field (or any other field). Besides completing all those courses and certifications, make time for the hands-on practices which will help you more to achieve a career in Hadoop domain.