Zero ETL is a methodology that allows for storing and analyzing data within its source system in its original format, without any need for transformation or data movement. This approach eliminates the need for an ETL pipeline, reducing errors, latency, and the complexity of data integration workflows. It also frees up time for data professionals to focus on more high-value tasks like analysis and interpretation, while eliminating the risk of data breaches by not moving sensitive data. Zero ETL is best suited for situations where data formats are consistent enough to skip extensive transformation before loading, and speed is critical. However, it may require new automation and orchestration tools, training for data teams, and potentially compromises on data governance and integration potential with standard ETL ecosystems.