In the last decade, rapid growth in mobile applications, web technologies, and social media generating unstructured data has led to the advent of various nosql data stores. Demands of web scale are in increasing trend everyday and nosql databases are evolving to meet up with stern big data requirements. The purpose of this paper is to explore nosql technologies and present a comparative study of document and column store nosql databases such as cassandra, MongoDB and Hbase in various attributes of relational and distributed database system principles. Detailed study and analysis of architecture and internal working cassandra, Mongo DB and HBase is done theoretically and core concepts are depicted. This paper also presents evaluation of cassandra for an industry specific use case and results are published.
| Autorius: | Sukhdeep Kaur |
| Leidėjas: | LAP LAMBERT Academic Publishing |
| Išleidimo metai: | 2018 |
| Knygos puslapių skaičius: | 52 |
| ISBN-10: | 6139908299 |
| ISBN-13: | 9786139908295 |
| Formatas: | Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Study of NOSQL Document, Column Store Databases & Cassandra Evaluation“
