Big Data Analytics and Machine Learning

Our expertise is born out of a passion for innovation and decades of hands-on experience designing and building systems for some of the most demanding customers in the world including the National Security Agency (NSA) and the New York Stock Exchange (NYSE). Our team has worked extensively with major vendors to build custom solutions and have also built high performance proprietary systems from the ground up. We know the major vendors’ strengths and weaknesses. Absent guidance and requirements we take a best-of-breed approach when designing a system.

Big Data

Big Data is often referred to as the three V’s (high Volume, high Variety, and high Velocity) data. The Internet of Things is adding a fourth dimension we have termed “high Vector” to account for the increasing number of sensors, devices and access points.

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Advanced Analytics

Advanced analytics enables the discovery of patterns and trends in structured and unstructured data, and uses this insight to predict the outcomes of future events and interactions. Analytics is typically performed by algorithms and machines whereas Analysis is something humans do.

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Cloud Computing

As defined by the National Institute of Standards and Technology (NIST), Cloud Computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction.

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Distributed Systems

The ability to divide and conquer is paramount in the processing of Big Data. This is generally accomplished through sharding and using distributed systems that leverage many computers operating in parallel.

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Real-Time Computing

Real-time computing (RTC), or reactive computing, comprise hardware and software systems that are subject to a “real-time constraint”, for example operational deadlines from event to system response. Real-time programs must guarantee response within strict time constraints, often referred to as “deadlines”.

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Microservices and Serverless

Applications built around Microservices and serverless are replacing monolithic architectures with loose coupling, greater modularity, portability and reduced dependencies in mind. This enable organizations to be more agile and adapt faster at Web Scale.

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