Databricks helped organizations modernize their cloud data platforms by migrating from legacy Hadoop and traditional data warehouses to their unified Lakehouse architecture. This transition reduced infrastructure costs with scalable, elastic cloud-native storage and compute, improved data engineering efficiency with reusable templates, and accelerated analytics and AI workflows by up to 65%. Databricks enabled faster insights, reduced technical debt, and empowered business users with self-service capabilities, ultimately boosting agility, performance, and operational efficiency at scale.

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