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Databricks in Banking: Unifying Data, Accelerating Transformation

Unity Catalog and govern banking data with Databricks for real-time analytics, AI-driven insights, regulatory compliance,

Databricks in Banking: Unifying Data, Accelerating Transformation

Databricks in Banking: Unifying Data, Accelerating Transformation Modern banks face intense pressure to innovate, reduce risk, comply with regulations, and deliver hyper-personalized services. Databricks —a unified analytics platform—has become a catalyst for digital transformation in financial services, enabling secure, scalable, and intelligent analytics and AI for banks of any size. What is Databricks? Databricks combines data lakes and warehouses in a single cloud platform, known as the data lakehouse . It bridges the gap between storage, analytics, and machine learning workflows for data engineers, data scientists, and analysts—all using a friendly UI and powerful tools like Apache Spark. Databricks supports collaborative notebooks, workflow automation, scalable ETL, and integrates seamlessly with AI/ML frameworks and open-source libraries [1] . Why Databricks is Essential for Banks Unified Data Management: Banks centralize data ingestion, processing, modeling, and analytics in one en…

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