Uma análise sobre o termo DataOps

Abstract

Data storage is no longer the biggest problem, technology becomes capable of storing large amounts of data with easy implementation and low cost. Data processing becomes the target of new questions, in a few years BigData can be seen evolving into DataOps. This work brings together studies over two years of experience in Data Engineering and presents an architecture for handling generic data. Based on an analysis of international articles and use cases from large companies that have become market tools. Seeking to encourage scientific articles of national production that address this topic, breaking language barriers and becoming a basis for computerization of companies and training of people.