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Databricks as a Compute Layer: Core Concepts, Best Practices, and Why It Outperforms Legacy Systems
Modern data platforms are no longer built around fixed infrastructure and monolithic systems. As data volumes grow and workloads become more diverse, organizations need architectures that are scalable, flexible, and cost-efficient. Databricks addresses these needs by positioning itself not as a traditional database, but as a compute layer on top of cloud storage. What Databricks […]
Databricks x mindit.io on Governance in Action: How Traceability Builds Trust in Data, Analytics, and AI
Trust in data is one of those problems every organization talks about, but few solve at scale. Everyone wants to be “data-driven,” yet decision-making often slows down the moment people start questioning the numbers. Where did this KPI come from? Why does this dashboard say something different than last week? Which dataset is the real […]
Banking on AI – Real-World Success Stories and the Road to Transformation
AI adoption in financial services is no longer experimental – it’s delivering measurable results. Leading institutions across Central and Eastern Europe are proving how agentic AI and data-driven architectures can transform core operations. Leading European Bank: Building a Data Lakehouse for AI Workloads Leading European Bank serving over 15 million clients regionally, faced the challenge […]