A modern data analytics stack is a collection of software tools and technologies used by enterprise teams to collect, aggregate, organize, analyze, and report on data. This stack has evolved significantly due to the increasing importance of cloud-based data warehousing services, diverse analytics use cases, cost control, administrative complexity, and data security. A typical technology stack for big data analytics includes tools for data collection and aggregation, transformation and processing, data storage, quality control, analysis, visualization, and reporting. To build a modern data analytics stack, it's essential to prioritize agnostic solutions, consider the total cost of ownership, and ensure that the stack can deliver insights for both today and the future.