What is Hadoop?

Hadoop is nothing but an open source Java based programming framework which supports processing and storage of extremely huge datasets in a distributed computing like environment. Hadoop is a part of the Apache project that is in turn sponsored by the Apache Software Foundation. There are many Vendors who have forked and provided their own implementations as Hadoop distributions by the likes of Cloudera, Hortonworks or MapReduce etc. HDFS is an Apache Software Foundation project too and is a subproject to Apache Hadoop project. Hadoop uses HDFS as its storage system and accessing the data files is done as if it is just one seamless file system. 

The details provided in this section should be good enough for an individual to understand the basic need where Hadoop comes and fits in the context of Big Data. In the next section, we will try to see why Hadoop has seen such a surge in demand and also what are its pros and cons for a programmer if he opts it as a future career objective.

Why is Hadoop in such demand?

From all industrial Verticals, we see a massive growth at which each of the industries that fall into various other Verticals are creating data for themselves and also to others to analyze them. The rate at which the smartphones and also its usage is increasing, there is good enough a chance that these will be further used as clients of big data usage. The advantages provided by big data, such as efficient streamlining of procedures which are administrative in nature, data accuracy, cost benefits that are anticipated to influence the demand of big data in possibly all the industries available.

The sectors such as telecommunications, financial services, government, retail, manufacturing, healthcare, entertainment, media sectors can be considered as the predominantly growing sectors with huge datasets, qualifying to be called Big Data as such. The growth with which the data is increasing in these sectors is going to raise up the expectation levels that might lead to the demand as well. The healthcare industry is also reported to increase the demand of big data solutions in the near future as healthcare industry looking for solutions providing better health.

With the help of Apache Hadoop, the data accuracy with which the Big Data is analyzed is achieved to 100%. But it’s not the amount of data that’s important. It’s what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and strategic business moves. The concept of gathering and storing large amount of data is old traditional model which is followed which in the recent present has been replaced with three V’S. Considering all these reasons, there is enough proof that there is a surge in demand for Hadoop and also Hadoop professionals to cater to all these needs and requirements. Professionals looking for a richly rewarding careers are tending towards Apache Hadoop as it is the hottest cake in the IT industry.

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