Building Enterprise Databricks Lakehouse Architectures for Scalable AI
Enterprises today require more than data storage — they need scalable, governance-driven platforms capable of supporting real-time analytics and AI workloads. This is where Databricks Lakehouse architecture becomes foundational. By combining data engineering, data science, and machine learning within a unified environment, Databricks eliminates silos between batch and streaming pipelines. Built on Delta Lake and Apache Spark, it enables high-performance analytics, ACID compliance, and ML operationalization at scale. TGH delivers Enterprise Databricks Lakehouse consulting services across Azure and AWS ecosystems. From Delta optimization and ETL automation to governance frameworks and Unity Catalog implementation, we design secure, AI-ready data platforms that drive measurable business outcomes. If your organization is planning a Databricks migration, modernization, or AI initiative, the architecture must be engineered correctly from day one. ๐ Read the full blog: https://tec...