Hadoop, now the buzzword on everyone’s tongue in the database business, was a completely unknown process in the early 2000s when it was in its early stages of development. What data analysts and manufacturers had realized at the turn of the new millennium was that no matter how fast their machines could process, the mere growth in database volumes itself would mean that the machines could never keep up. up to date. terms of speed.
The solution to the big data problem was beyond the reach of increasing the speed of machines. Hadoop was developed as a framework that would use reduced computation to process data; which means that regardless of the size of the data or the volume of computations required, the system could handle it. This was achieved by using the Hadoop Distribution Files System (HDFS) which, as the name suggests, stores data in clusters across several different machines, eliminating the need for RAID storage on any one machine.
During the early years of Hadoop, the programmers and data analysts needed to handle big data had sophisticated college degrees and years of training and experience. The database management industry was booming with companies like IBM, SAP, and Oracle spending billions of dollars on software companies that specialized in database management. The size of the growth in the big data industry was in fact so large that it was the largest growth segment in the software industry with an estimated net worth of the entire segment at around $100 billion, roughly four times as much. than the market for Android and iOS app development, which is worth a mere $25 billion by comparison.
With the size of the data that needs to be processed growing so exponentially, the industry is advancing rapidly, making the knowledge and training required for the job less and less specialized. Today, anyone with a high school education and a few months of training can master the art of database administration and for this reason, more and more companies are inclined to hire companies to conduct Hadoop training sessions for their clients. employees learn Hadoop technology so they can take care of their in-house database administration needs instead of outsourcing them to professionals.
These Hadoop training sessions delivered by highly experienced database industry specialists vary in training time and intensity, allowing companies to choose from a variety of packages that best fit their needs. Large enterprises that need their employees to have a solid understanding of big data fundamentals, as well as a deep working knowledge of the Hadoop Map Reduce feature, can enroll in longer training courses lasting up to 9 weeks, while enterprises whose data management needs are not that extreme may simply benefit from having their employees learn the skill from shorter online tutorials on how the Hadoop framework works and the theory behind its use.
