Big Data Security Architecture using Split and Merge Method
| Autor: | Ravindra S. Hegadi, R. A. Archana, Manjunath T N |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Big Data
Control and Optimization Computer Networks and Communications business.industry Computer science Big data Data Security Data security Unstructured data Data science Data retrieval Hardware and Architecture Signal Processing Data Masking Big data security Electrical and Electronic Engineering Architecture business Merge (version control) Information Systems |
| Popis: | Due to rapid growth of unstructured data in contemporary information world, there is an essence of big data infrastructure for many applications spread across domains, due to the different source information type and huge volume, data ingestion and data retrieval is important activity during this process data security is a vital to protect user data, in connection with this, authors proposed a big data security architecture using split and merge security method in big data environment using hadoop.This work will help Data security professionals and organizations implementing big data projects. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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