| | July 20166CIOReviewDatabase, being the foundation of the analytics industry, has had an interesting evolution, catering to the type of information to be mined. Down the timeline, as the datasets grew at a stupendous pace, storing, managing, and processing the data avalanche gathered from multiple sources steered this transformation from relational, to non-relational era. Amidst this growth story, there emerged a need to not merely gather the different data points, but to connect them, and draw upon the relationship between the various data points which are inter-related. Today, as the data management systems are evolving to build a network of data, new technologies for easy retrieval and manipulation of data--like graph database--is taking the centre stage. Empowering data analysts to derive the full potential of data relationships, graph databases substantially advance the contextual relevance and arrive at insights by mapping any-to-any relationships. The purpose-built graph database deftly handles highly connected data and is loaded with numerous benefits across sectors, upholding a sustained competitive advantage.For instance, in law enforcement, a definite relationship pattern could emerge from seemingly non congruent pieces of data. Likewise, in the bioinformatics arena, the graph database is proficient in the analysis to tap the immense network of relationships linking the numerous chemicals of the human anatomy. The power of graph database technologies is evident from its ability to traverse relationships, rapid response timeframes, and the ability to easily connect data across disparate enterprise systems.The advantage has been effectively leveraged by leading players such as Facebook, and LinkedIn for intensive data relationship handling and querying. Graph searches, which answer intricate questions, can help in deciphering complex user behavior, to pinpoint the most probable prospects and tailor targeted marketing campaigns. As game changing technologies like this take a stronger grip, new trends in computing and storage are further set to positively impact the database architectures of the future. Finding the fine balance amongst the spectrum of database technologies is the key.Let us know your thoughts.Jeevan George Managing Editoreditor@cioreview.comEditorialExtrapolating Data Relationships Copyright © 2016 ValleyMedia, Inc. All rights reserved. Reproduction in whole or part of any text, photography or illustrations without written permission from the publisher is prohibited. The publisher assumes no responsibility for unsolicited manuscripts, photographs or illustrations. Views and opinions expressed in this publication are not necessarily those of the magazine and accordingly, no liability is assumed by the publisher thereof.CIOReviewJULY - 07 - 2016Mailing AddressCIOReview44790 S. Grimmer Blvd Suite 202, Fremont, CA 94538T:510.402.1463, F:510-894-8405 July - 07 - 2016, Vol 05 SE 49 Published by ValleyMedia, Inc. To subscribe to CIOReviewVisit www.cioreview.com Database Technology SpecialCIOReviewEditorial StaffSalesT: 510.565.7623Aaron Pierce Alex D'SouzaAva Garcia Chithra VijayakumarJade RayJoshua Parker George Thomasgeorge@cioreview.comVisualizersStephen ThomasArpita GhoshManaging EditorJeevan George
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