The Evolution of Modern Data Stacks

The chapter delves into the challenges and evolution of modern data stacks, contrasting older data tools with current trends in the industry. It discusses the implications of data democratization, data quality issues, and the consequences of a reactive data approach. The conversation also transitions to the complexities and future prospects of AI applications, emphasizing responsible deployment and legal considerations.