Addressing the Challenges in Big Data Applications with Apt Solutions
In the recent past, there has an increase in the amount of digital data stored and created by
enterprises as well as enterprises. Previously, enterprises used computing devices and databases in
order to store all their business information in an organized manner to perform business tasks.
Today, a massive chunk of the enterprise data is usually stored in document format set up using
productivity tools like Microsoft Excel, Word or Office formats that extends to a range of unorganized
data patterns that are used for enterprise data.
Challenges in Big Data Applications
The increased growth of unorganized content and the need to minimize expenses, complicacies and
other related risks is a big issue for storage ISVs. Though one of the most critical issues Big Data
Applications is storing increased volumes of unstructured data. There are service providers assisting
storage vendors in order to resolve this challenge.
This apart, there are other challenges in Big Data Applications. They comprise of complicacies in
finding able employees and partners, untested and emerging technologies and impractical
expectations regarding what the technology can actually attain. This apart, another major concern is
making your enterprise storage applications ready to supply the data that is required in real time for
analysis. Therefore, prior to writing off RFP’s for a Big Data attempt or finalizing purchase orders on a
new software and hardware, it is essential to consider the “readiness” of enterprise applications.
One more common mistake of Big Data initiatives is not being able to get a grip on locations, format
and the quality of present data. As the very base, Big Data is a highly analytical process that is set up
to generate actionable data. Hence, Big Data is not going to result in anything practical if there is lack
of appropriate data.
Keeping all these concerns in mind, companies specializing in big data applications have come up
with advanced solutions and big data partnerships that results in the following benefits:
● Offers integrated software and hardware for streamlined installation and optimal
● Enhanced assistance for a single contact point
● The in-house integration cost is removed thereby enabling enterprise’s to concentrate of
assisting and developing application software
● The expense of monitoring inventory, RMA’s, EOL components and warranties are reduced
● The product lifecycle management system will make sure that the product remains viable for
As a value added partner, big data application service providers ensure that their big data partnership
helps customers’ to set up long-lasting business scopes.
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