Automation of Database Replication and Sentiment of The Replicated Data

Abstract

This paper deals with 2 topics 1) The automation of database replication 2) performing sentiment Analysis on the replicated data. The process of automation is continuously evolving across all the industries and more so in the IT industry, it increases the value of time and indirectly saves a lot on costs, and also on tasks that increase the value of your IT ecosystem exponentially. It also makes your day-to-day workload more interesting: learn, code, test, automate and learn something new. The databases need to have data from other databases for various purpose either partly or wholly, may be table, schema or database level. The replicated data may be useful for review and hence we may use sentiment analysis on the dataset using python and related tolls of ML. The data will be going through tokenizing, removing stop words, normalizing, vectorizing.