What If Mixing Technologies for Big Data Mining and Queries Optimization

摘要

Data is growing at an alarming speed in both volume and structure. The data volume and the multitude of sources have an exponential number of technical and application challenges. The classic tools of data management became unsuitable for processing and unable to offer effective tools to deal with the data explosion. Hence, the imposition of the Big Data in our technological landscape offers new solutions for data processing. In this work, we propose a model that integrates a Big Data solution and a classic DBMS, in a goal of queries optimization. Then, we valid the proposed optimized model through experiments showing the gain of the execution cost saved up.