“Either you grow or you die”. The maxim holds a tangible relevance for working professionals, who need to upgrade their skills constantly, to keep pace with the ever-changing technological landscape. Whether you are a college graduate, a rookie intern, or a seasoned professional, the burning question is: “What skills can get you a thriving and rewarding career?” The IT world has a number of technologies to learn and start a career with, but the need of constant skill upgrade is omnipresent. One such technology is Hadoop – an open-source software framework that allows organizations to manage and obtain actionable information from big data sets. Continuing on the subject, this blog post discusses four reasons that make Hadoop certification a beneficial proposition.
Thanks to the smart revolution, the volume of data processed by organizations has increased exponentially. Hadoop helps in processing large volumes of structured and unstructured data that is beyond the manageability scope of traditional warehousing methodologies. Hadoop can process several terabytes of data in minutes and petabytes of data in a few hours, which explains the reason why it has emerged as one of the most in-demand skills in the IT industry. Various leading companies need IT professionals with a solid foundation in Hadoop ecosystems such as Pig/Hive with HBase, Cassandra and MongoDB and MapReduce.
After obtaining a Hadoop Certification, the career options are virtually endless. The demand for Hadoop certified professionals has been soaring across diverse verticals, such as financial firms, agriculture, sports, tech and media. Apache Hadoop is already an integral component of IT big data systems of tech giants such as Google, Facebook, ebay and Amazon. With more and more companies leveraging big data analytics to derive meaningful inferences and insights, Hadoop certification can be the gateway to a thriving career. Obtaining a certification in Hadoop Hive or Pig can help broaden your horizons and qualifies you for a host of profiles, such as Hadoop Developer, Big Data Architect, and Data Scientist.
Organizations are seeking hadoop certified professionals in large numbers as a quick search on leading job portals returns 4000+ results on Glassdoor, 3000+ on Dice and 4500+ on Naukri.com. As Hadoop is an open source platform, organizations are able to manage exploding data sets without worrying about potential data loss at a lower cost than traditional relational database management systems. The only challenge; however, is the lack of Hadoop professionals capable of handling ultra-modern systems and to bridge the gap, which represents a pool of highly promising job opportunities for qualified professionals. Some of the organizations that actively hire Hadoop professionals include Google, Apple, IBM, Walmart, Facebook, NASDAQ and Verizon.
Apart from enhancing employability, Hadoop certifications also ensure handsome paychecks, ranging from $100,000 or more. Recent reports on Dice suggest that an average Hadoop professional can easily clock up to $115,062. Moreover, the combined market share of big data analytics and Hadoop is expected to reach approximately $13.9 billion by the end of 2017, which reflects the potential of the technology and the value you can get as a Hadoop hive professional. Last but not the least, you can expect a better hike while switching jobs and enjoy higher retentions as a Hadoop professional.
Big Data and Hadoop are two of the most in-demand technologies, without which many organizations won’t be able to sustain their operations. In addition to enrolling in a Hadoop certification course, IT professionals can use an array of resources such as online Hadoop Hive tutorial videos to ease the learning curve. Though there are no prerequisites to get started, familiarity with Java is considered a good-to-have element. If you are looking for a rewarding career in big data analytics and Hadoop, start with the Hadoop hive tutorial videos at Unanth. Unanth provides an array of IT courses on diverse technologies, with Hadoop being no exception. To get started with Hadoop training, click here.