Open Source vs. Open Architecture: What Does Big Data Need?
Both the open source software and open architecture are big players in the modern, digital market. But which is more relevant and holds a bright future for Big Data?

Open Source vs. Open Architecture: What Does Big Data Need?

With most of the organizations using open source software as well as open architecture, it clearly shows that both the technologies are going hand in hand. While open source makes source code public, open architecture allows users to use their specifications to duplicate its products. Before moving any further, let’s discuss what the concept is.

Open source code and openspecifications

Millionsof users use the open source software and the economic aspect of these applicationsis not the only reason that is compelling people through it all. As a result,it holds a host of benefits such as flexibility, security, accountability, interoperabilityand quality. Its source codes are available to public for use without investinga penny.

On the other hand, open architecture offers specifications designed by the developers to public wherein they can a similar copy of the product.

However,Chris Selland, VP of Big Data Platform, at Hewlett Packard Enterprise says thatopen source and open architecture doesn’t entirely turn the platform moreefficient. He believes that the source code needs to be extensible rather thanonly providing source code and specifications free. We are in the era where companieshave already integrated multiple applications to make it highly productive.  

 Why flexibility matters somuch?

Extensibilitycan broaden the path to connecting more applications and integrating moresources with each other. Google maps stands as a great example, as it could be extendedwith any transportation industry for tracking locations. Especially in the erawhere connectivity is playing such a major part, application openness iscrucial to promote flexibility.

Accordingto a survey, data is produced in abundance in a minute and organizations needto put all of this to some good use. When users are so open about theiropinions, enterprises must waste no time in responding to the request. But thisis just the initial period, with time Big Data will become even popular and itwill require even fierce technology to manage it.

 Prospective of Big Data

Businessesdetermined to using data in an effective approach are more likely to achieve successand take the platform a level ahead due to their capability of quicklyassembling data from diverse sources and practicing it. Then the question is howopen source and architecture helps data-centric enterprises? It is the cheapestoption with quality-oriented features that any organization has. It is an opportunityto uplift our Big Data insights that allows proceeding effectively, while openarchitecture ensure everything falls in the right place.

 Theconclusion is organizations need both open source applications and openarchitecture to reap out the benefits of Big Data. When the technological fieldis developing solutions to manage the growing data, these two potentialsoftware eliminates the very idea of overlooking it. Big Data can do wondersonly if businesses ascertain to process it rightfully, which is to make it bothopen and integrated.

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