Heterogeneous Database System for Faster Data Querying Using Elasticsearch
Umesh Taware, Nuzhat F. Shaikh · 2018
Nowadays data is increasing at such high rate there is need of tool which can analyze this data in equally efficient matter, as this data analysis contributes to crucial decision making while dealing with day to day business scenarios. It is quite impractical to analyze this data with traditional relational database tools. There has been new growth in technologies which increases our ability to process to this data, Hadoop and NoSQL databases are some of the names that are very popular these for the same reason. In particular, Elasticsearch is most preferred tool now a days, it is text-based search engine developed by Apache Foundation. It is near real time, highly scalable and distributed tool to search, analyze and store your data. Hybrid Database system proposes a solution to most common problem of increased data retrieval time as the size of data increases.