From cloud data warehouses and lakehouses to real-time data processing and streaming, the data architecture landscape continues to evolve rapidly. Right now, the majority of DBTA subscribers have budgets for modernization efforts. Why? To meet the ever-growing demands for greater scalability, resilience, agility, and cost-optimization, new approaches are necessary -- especially to support new AI initiatives. Download this special report to dive into the key technologies and trends paving the way forward.