A Study on Graph Storage Database of NOSQL
| Autor: | Atul Patel, Smita Agrawal |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Big Data
Physical data model Relational database Computer science View Big data computer.software_genre NoSQL 01 natural sciences Database design Database testing Database tuning 010305 fluids & plasmas Data modeling Data retrieval 0103 physical sciences 010306 general physics Data administration Database model Graph database Distributed database Database business.industry Graph Database Spatial database Database schema Unstructured data graph Component-oriented database Neo4j XML database Data quality Database theory business computer Intelligent database |
| Zdroj: | International Journal on Soft Computing, Artificial Intelligence and Applications. 5:33-39 |
| ISSN: | 2319-1015 2319-4081 |
| DOI: | 10.5121/ijscai.2016.5104 |
| Popis: | Big Data is used to store huge volume of both structured and unstructured data which is so large and is hard to process using current / traditional database tools and software technologies. The goal of Big Data Storage Management is to ensure a high level of data quality and availability for business intellect and big data analytics applications. Graph database which is not most popular NoSQL database compare to relational database yet but it is a most powerful NoSQL database which can handle large volume of data in very efficient way. It is very difficult to manage large volume of data using traditional technology. Data retrieval time may be more as per database size gets increase. As solution of that NoSQL databases are available. This paper describe what is big data storage management, dimensions of big data, types of data, what is structured and unstructured data, what is NoSQL database, types of NoSQL database, basic structure of graph database, advantages, disadvantages and application area and comparison of various graph database. |
| Databáze: | OpenAIRE |
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