Open AccessEmerging Databases for Next Generation Big Data Applications
Author(s) -
M. Sailaja,
V. Sundara Ratnam,
Neha Rani
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a1037.1291s619
Subject(s) - analytics , computer science , leverage (statistics) , database transaction , scalability , spark (programming language) , transaction processing , transaction data , big data , database , process (computing) , data science , data mining , operating system , artificial intelligence , programming language
This raised as quality into large scale periods into analytic application as real time inventor of pricing, mobile application in that offers we suggestion, fraud detections, risks as analyzed, etc. emphasis in the requirements with distributes knowledge’s management systems in which is into handle quickly transactions & analytics simultaneous. Efficiently into processes into transactions & analytically as requested, though, needed as complete into various optimization & branching into knowledge selection as a systems. In the paper presented in the wildfire systems in that target Hybrid Transactional & Analytical process (HTAP). This wildfire leverage in the Spark systems into modified as large scale process for different types as the difficult analytical request, & columnar process to modify as quick transaction & analytics simultaneous.