Explaining Hadoop to Beginners

With the arrival of a lot of Hadoop products in the market, many organizations are beginning to turn to it to gain a competitive edge. Now if your organization is one of those which likes to stick to its traditional ways and technologies, you may face a great deal of hard time when explaining Hadoop and its benefits to your organization. Big Data is getting a lot of spotlight these days, not only because of the technical intricacies involved but also the plethora of applications in the business industry. With the release of Hadoop 2.0 and other SQL on Hadoop products, this buzz just keeps on getting better.

But while you understand the significance of this behemoth, there are bound to be a lot of people in your organization who don’t even know what Hadoop is, let alone how important it is. So how do you explain it to them, without providing with mind-numbing details?

By focusing less on the jargons and technical nitty gritties and more on using the real world benefits, for experts can easily be swayed to convey the value to the business co-workers and colleagues who don’t have any prior technical knowledge. Mainstream users don’t know how Hadoop worls but they need to completely understand about its procedures and the constraints that come into play when Hadoop is deployed. As a result they begin to comprehend the results when it comes to data. The best part is that there is a whole less confusion about the platform than there was just a year ago. Many people know that there is a tool called Hadoop which is used to process Big Data, but that is where it ends.

OK so what is the MapReduce that everyone is talking about? It is the huge module of Hadoop which is able to process the Big Data Analytics and provide with a framework for easily processing that Data. But rather than the conventional transfer of data over the network, MapReduce uses a much smarter approach of processing the big data sets. That said, moving the data over the network can very painfully slow especially for huge data sets. Imagine opening a huge file on your laptop, it takes such a long time that one lifetime seems short. So we have established that the network is a great liability and very slow.

So rather than bringing the data to the software, MapReduce brings the software to the data. Still a very complex endeavor, Hadoop brings forth a very promising trend which helps remove a lot of the mystery and the complexity that surrounds Hadoop these day.

The main selling point of Hadoop is the ability to process the Big Data in a very effective and efficient manner. The open source community and many other commercial vendors are working tirelessly to provide SQL on Hadoop solutions, only to make the whole experience simple and much faster. This will open up a great deal of possibilities like connection to tools like Tableau and many other BI tools.