DataOps: o novo paradigma de metodologia ágil

Abstract

DataOps is the new data paradigm, it is an automated, process-oriented methodology used by analytical teams and data engineers that streamlines the production of high-quality data insights with security and control in the data flow, since the data volume it grows tremendously every day, causing companies to innovate in their data systems, but most of the time incorrectly, causing inefficiency in meeting market demand requirements. This methodology merges with the Devops methodology, which will improve software development and IT operations such as speed, quality, predictability and scale of engineering and software deployment with a good team with strategies designed entirely in governance, prioritizing always the customer's security and privacy. The objective of this work is to bibliographically inform this model of revolutionary agile methodology with the collection of information for "What it is", what are the steps, requirements for building an environment, and how is it to form a DataOps team, addressing how it works , its tools, advantages, its differences with DevOps and contribute to the incentive for companies and professionals in the area of Information Technology in the implementation of this practice, carefully presenting DataOps as a new agile practice model for companies to understand the importance of using analysis of data in the corporate strategy in the form of a theoretical framework, also promoting the search for more subjects of this practice that are so few in Brazil.