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Big Data – Properties and Uses of Graph Databases

   

Added on  2020-04-15

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Running head: Big Data - PROPERTIES AND USES OF GRAPH DATABASESBig Data - Properties and Uses of Graph DatabasesName of the Student:Name of the University:Author note:
Big Data – Properties and Uses of Graph Databases_1

2BIG DATA – PROPERTIES AND USES OF GRAPH DATABASESRelational databases are useful to store tabular data, which fits into a pre-definedschema that is composed of rows and columns (Paredaens et al., 2012). However, they cannotaccommodate too many interrelations or large graphs in the data set. With advent in moderntechnology, data is becoming more interconnected. Problems are faced due to:Numerous inter-table JOINS: When queries use too many JOIN statements, theresponse time increases due to the rise in complexity.Numerous Self-JOINS: Traversing multiple numbers of such relationships in tablesbecomes hectic and inefficient.This has introduced the need for Graph Database. This stores the relationship-orienteddata with the help of nodes and edges. Unlike the relational database where multiple JOINSare needed to establish a complex model, a graph database is easier to use and is also moreefficient in such scenarios. Instead of the row-wise retrieval of data like that in relationaldatabases, a graph database retrieves data by searching node by node following the respectiveedges unless the target data is found (Batra and Tyagi, 2012). This is one of the structures ofNoSQL (Not Only Structured Query Language) database.The other NoSQL database structures and their uses are:Key-Value Store: It emphasizes the storage need of the database by the use of BigHash Table of keys and respective values. Document-based Store: This stores and retreats documents composed of taggedelements.Column-Based Store: Storage blocks here, contain data from a single block only(Nayak, Poriya and Poojary, 2013).
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