The Rise and Fall of the Modern Data Stack

The modern data stack, which gained popularity in recent years, is now facing challenges and potential drawbacks. The movement was triggered by the emergence of tools like Redshift and BigQuery, offering scalability and ease of use. However, the lack of constraints and best practices led to data sprawl and a lack of coherence in organizations. The modern data stack craze reached its peak with the Snowflake IPO, attracting venture capital and investment. Currently, the industry is witnessing a similar phenomenon with AI, as companies rush to incorporate AI features without a clear understanding of their utility. The key takeaway is that incorporating new technologies should be driven by their value and potential impact on the overall business strategy, rather than simply following trends.