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

Spotlight

Metanautix

Metanautix is a stealth-mode company building big data analytics systems for large enterprises. Our investors are some of the most prominent venture capitalists in Silicon Valley. We are currently working with early stage partners to test and deploy our first product.

OTHER WHITEPAPERS
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whitePaper | December 16, 2019

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whitePaper | August 18, 2022

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whitePaper | June 3, 2021

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Spotlight

Metanautix

Metanautix is a stealth-mode company building big data analytics systems for large enterprises. Our investors are some of the most prominent venture capitalists in Silicon Valley. We are currently working with early stage partners to test and deploy our first product.

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