Since “Big Data” became a top IT buzzword, batch processing has been “King.” It is, after all, an extremely efficient way to crunch large volumes of data. Then along came real-time, respond-to- each-event- as-it- happens stream processing. To us at Dragonfly, this transition looked quite familiar…From the earliest computers through the 1970’s, batch processing was King. When interactive time-sharing emerged, industry experts saw it as obviously inferior because it was nowhere near as efficient. But those same experts missed something crucial: the power of immediate response. Once users got a taste of instant answers to a query, they started demanding it. Then-dominant IT vendors feverishly added time-sharing to their batch operating systems—with results that were clumsy at best. Within a decade, OSes built upon a time-sharing found ation (such as Unix) dominated the industry. Similarly, today’s consumers want information, products and services delivered on-demand. Those that respond immediately—or better still, anticipate customer needs and deliver beforehand—win their business. Doing that requires predictive, real-time analytics.Like time-sharing years ago, real-time platforms will eventually replace batch on the analytics throne. Dragonfly is ready, and well positioned to guide clients through the transition and into the future.

Dragonfly aligned with the IOT of the Future

In addition to an inexorable move toward real-time, we see several IT trends which will drive unprecedented data growth and provide opportunities for Dragonfly to exploit over the next 3 years and beyond:

  • Sensors: Smarter and Everywhere. By 2020 the number of sensors in existence will exceed 100 Billion, with most either directly or indirectly exchanging data related to humans. 2017 will mark an inflection point in which interconnected sensors attached to personal wearables and “smart” industrial equipment will generate exponential data growth.

  • Digital World Conspicuously Drives our Physical World. New data-driven applications will enter our daily lives that illustrate the linkage between the digital world and the physical world. Data will increasingly be linked to supporting systems and automated workflows that in turn direct physical activity.

  • Wearables Enter Enterprises and Industrial Factories. The popularity of handheld and wearable devices will rise by 2020 thanks to nanotechnology, new materials and miniaturization of IOT technologies.In 2017 and beyond, wearables will move away from their current narrow focus on consumer health and fitness into enterprise-friendly devices, representing a significant shift.

  • Data as an Asset. Big Data analytics will become the baseline blueprint for innovative business models, especially for Fortune 500 companies. To gain competitive advantage, Big Data has to be contextualized in real time. That means enterprises require the best data management possible, and must bridge gaps between disparate information systems.

  • Data Understood as a Basic Need. Data will become recognized as a basic enterprise and consumer need in 2017. Access to data already determines how good individuals and organizations can perform, and the Internet has made it even easier to generate, distribute and exchange data and knowledge. Demand for personalized experiences, driven by data, will become a basic expectation.

Browse Jobs

Browse the latest technical jobs that are available at Dragonfly. Find them here first. Learn More

Follow Dragonfly on Twitter