In this session, we shall discuss the evolution of data architectures. We shall start how in 1980's and 90's relational databases dominated with ER data modeling, followed by 2000's with MPP and star schema/snowflake schema. Then we shall discuss how the world moved to Big data where data lakes came into picture (2016's - data lake coined by Pentaho) to datalakehouse in 2020's and data mesh architecture. Overall session would be engaging explaning how with the rise of data products has though kept Functional Requirements changing but Non Functional Requirements changing at a much faster ratae.