Graph Analytics and Big Data

May 2, 2019

Graph analytics, which is an analytics alternative that uses an abstraction called a graph model. The simplicity of this model allows for rapidly absorbing and connecting large volumes of data from many sources in ways that finesse limitations of the source structures (or lack thereof, of course). Graph analytics is an alternative to the traditional data warehouse model as a framework for absorbing both structured and unstructured data from various sources to enable analysts to probe the data in an undirected manner. Big data analytics systems should enable a platform that can support different analytics techniques that can be adapted in ways that help solve a variety of challenging problems. This suggests that these systems are high performance, elastic distributed data environments that enable the use of creative algorithms to exploit variant modes of data management in ways that differ from the traditional batchoriented approach of traditional approaches to data warehousing

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Tusker Data Lab

Tusker Data Lab creates business value by analyzing huge amount of data at very high velocity (almost real time) by building "High performance BI & Analytics systems" using custom algorithms and Big Data technologies. We bring innovative solutions and frameworks in areas of Big Data Analytics, Data Warehousing, Business Intelligence, Predictive Analytics & Machine Learning space. Tusker provides services to span full cycle of analytics and knowledge research, building a data warehouse to setting up a business intelligence platform to perform advanced analytical modelling of data. Tusker technocrats "live data everyday" and have successfully delivered data intensive business solutions. Our Vision is to build cost effective computation system for huge data set and build platform to bring Intelligence out of Data…

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Spotlight

Tusker Data Lab

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