A Review on Big Data- Storage Techniques and Its Challenges
H D Vidyashree, Kavyashree E.D, Sowmya Shree P · Zenodo (CERN European Organization for Nuclear Research) · 2018
Big data as the name indicates it is extremely large data sets collected from various sources like internet, camera, applications, and bank transactions and so on. RDBMS is not sufficient to store and process such large quantity of data. This paper introduces several storage and processing techniques to deal with the big data. Apache Hadoop, Microsoft HDInsight, NoSQL (Not Only SQL), Hive, Sqoop, PolyBase, Big data in EXCEL, Presto are some of the techniques to store and process big data. Storing and processing is the one issue of big data on the other hand privacy and security is the another issues of big data. In this paper we introduced challenges of big data security. Apart from these issues and challenges we also have some advantages of big data.