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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CrewSpark

Crewspark is a data science technology company based in New York, NY using best-practices in machine learning and data engineering to intelligently source, store and analyze data from across the web or from within an organization. Our platform provides organizations with the capabilities to rapidly become highly capable with structured and unstructured data collection, visualization and information management. Our technology integrates with your current Big Data warehouse and comes with a range of additional services to ensure production ready operational effectiveness…

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