The Data on the Big Hadoop Craze - AnalyticsWeek

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Hadoop now the buzz word on everyone’s tongue in the database business was a completely unknown process in early 2000 when it was in its infancy stages of development. What data analysts as well as manufacturers had realized by the beginning of the new millennium was that no matter how fast their machines were able to process, the sheer growth in the volumes of database itself would mean that machines would never be able to keep up in terms of speed.

The solution to the big data issue lay outside of the scope of increasing machine speeds. Hadoop was developed as a frame work that would utilize reduced computing to process data; meaning that no matter the size of the data or the volume of computations required the system would be able to handle them. This was achieved by the use of Hadoop Distribution Files System (HDFS) which as its name would suggest stores the data in clusters over a number of different machines eliminating the need for RAID storage on any one machine.

During the early years of Hadoop programmers and data analysts required to deal with big data came with fancy degrees in higher education 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 firms who specialized in database handling. The size of growth in the big data industry was in fact so large that it was the single largest growing segment of the software industry with the net worth of the entire segment being estimated to be worth around 100 billion dollars, about four times as large as the market for the development of android and iOS applications which is worth a meager 25 billion dollars in comparison.

With the size of 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 management and for this reason more and more companies are inclined to hire companies to conduct Hadoop training sessions for their employees to learn Hadoop Technology so they may cater to their database management needs in house instead of outsourcing to professionals.

These Hadoop training sessions provided by specialists with huge experience in the database industry vary in time as well as intensity of training allowing companies to choose from a variety of packages that best suit their needs. Large companies who need their employees to have a solid grasp of the fundamentals of big data as well as an in-depth working knowledge of the Hadoop Map Reduce function can enroll in longer training courses that last upto 9 weeks while companies whose data management needs are not so extreme can merely benefit from having their employees learn the skill from shorter online tutorials on how the Hadoop frame work function’s and the theory behind its usage.