The Data Obesity Crisis: Navigating the Lakehouse Evolution
In today’s world of expanding data lakes, organizations are facing a new challenge: data obesity. As enterprises now store 2.5 times more data than in 2019, decision-making velocity has stagnated. IDC forecasts that global data storage will explode to 175 zettabytes by 2025, with 90% of it remaining unanalyzed.
Key Insights:
- The Lakehouse architecture, while reducing storage costs by 80%, removed barriers to data accumulation.
- Operational debt emerges as dark datasets demand maintenance while devaluing insights through confusion.
- Datology AI research reveals that curated data consistently outperforms raw datasets, highlighting the need for quality over quantity.
This crisis calls for a paradigm shift. The Data Sustainability Index (DSI) can help diagnose and address data overload, encouraging organizations to prioritize data quality and operational efficiency.
💡 Join the conversation! Share your thoughts on data management strategies and how we can combat data obesity.
