Page 18 - GCN, Oct/Nov 2016

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ADVANCED ANALYTICS
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OPEN SOURCE-BASED INNOVATION
IS YOUR DATABASE STUCK IN THE PAST?
Open source W
KELLY STIRMAN
VICE PRESIDENT STRATEGY, MONGODB
about “Big Data” nearly a decade after the term was coined.
Data volumes are growing exponentially and 80 percent of the data generated today is semi-structured and unstructured, which doesn’t lend itself to being stored in the
technology delivers cost and speed benefits for modern apps.
rigid row and column format of traditional relational databases. While relational databases have served us well for over 30 years, they are not the right solution for building modern apps that
are often running in the cloud and need to store, process, and extract insights from rapidly changing, multi-structured data generated by billions of sensors, mobile devices, and social networks.
HILE THE TERM “Big Data” has become a tired cliché, there are reasons why people inside and outside of technology are still talking
Additionally, government agencies must meet a number of regulations and are under increased pressure to be agile and responsive to new application demands. They also need to find ways to modernize and serve large audiences while working within the constraints of limited budgets.
Fortunately, organizations are realizing the benefits of open source NoSQL technologies. With NoSQL, organizations can build applications faster; adapt to changes in their mission; easily scale to meet increases in demand; deliver an “always-on” experience to users; and attract top technical talent to their teams.
“Big Data” as a term may be tired, but the underlying challenges associated with this trend are real. Harnessing
this data opens the door for positive change. Open source technologies such as MongoDB are an important part of the way forward, and need to become part of the common vocabulary and tooling for every technology decision maker.
Read more from Kelly Stirman at carahsoft.com/innovation/Stirman.
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