Top 5 insights for businesses implementing Big Data on Hadoop

/ / Big Data

Extensively high volumes of data and the innovative solutions to handle them are disrupting traditional approach towards its utilization, management and analytics. Businesses across multiple industries are latching on fast to these new-order technologies that promise to give them a competitive edge via advanced data analytics and deeper insights.

It is well-known that unstructured data silos are available in abundance within the systems of an organization. The real challenge lies not in the collation of data, but in making it really useful. Enterprises have been considering the adoption of big data analytics to deliver value and identify meaningful action.

To get the right kind of big data analytical solutions on board, enterprises would need to incorporate the following factors:

  1. Business requirements should drive the adoption

Should an enterprise jump into the Hadoop bandwagon simply because it seems to be the way ‘forward’? This could be a disastrous decision. Rather a thorough analysis of the specific business needs should be done to understand whether the adoption will truly address those needs.

  1. Start via a small pilot and adopt agile practices

Before going full throttle, it may be a wise idea to identify a small pocket where big data analytics can add big value. Based on the success of the pilot, it can be scaled to other processes within the organization. Shifting to agile methodologies can help to bring in cost and time efficiency as the company prepares to implement Hadoop across multiple functions.

  1. Support for hybrid architectures, structured and unstructured data

In the world of outsourcing, isn’t it fairly common for a company’s data ecosystem to use a mix of on-premises systems as well as private and public clouds? An approach to analyze the company’s data must be able to interact with hybrid architectures.

The data may be partly unstructured and the rest stored in structured form such as database records.  A comprehensive data analytics solution must be able to support both formats to give a cohesive analysis.

  1. Data security

The data assets of an organization need to comply with strict security measures such as confidential communication and user authentication.  This is essential when you choose a new tool for data analysis.

  1. Training

What is the point of having a new technology with valuable information if there are not enough experts to use the tools well or take full advantage of the new insights? It pays to have a well-planned training for existing staff. It may make more sense to hire experts and make them champions of the transformation programs.

These factors can unearth a tremendous amount of valuable information, when assisted with a thorough analysis of the data assets of any organization. Big data can in fact position the enterprises to gain exciting insights to create an adaptive business environment with a competitive edge.

Big data and Hadoop services designed by Baryons are all-inclusive solutions that help enterprises utilize the high volumes of data.  This includes conceptualization, implementation, deployment, training and maintenance support. We help businesses to capitalize on Big Data.

The data analytics is yet in its nascent stages, but you definitely cannot afford to ignore this revolution! It makes sense to investigate every aspect of existing data. There are no magic wands of course; you still will need to map the analysis to measurable actions.  Join in and enjoy!


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