Data Virtualization Project Development Lifecycle Guide

This guide outlines the Software Development Life Cycle (SDLC) as it applies to Data Virtualization projects using the Denodo Platform. It details the stages involved in developing a Data Virtualization solution, starting with the discovery and analysis of business needs, followed by solution architecture and design. The guide emphasizes the importance of stakeholder engagement and the selection of appropriate technologies and methodologies, including Agile and Waterfall approaches. It also describes the development and testing phases, highlighting the environments used for development, quality assurance, and production. Additionally, it covers deployment strategies, including the use of tools for managing large deployments and automating tasks with DevOps tools. Finally, the guide addresses the maintenance phase, which ensures ongoing performance and compliance with specifications, and provides resources for further exploration of best practices and methodologies in Data Virtualization.