What’s inside
85% of organizations now use data lakehouses to develop AI models and power analytics, yet many struggle with fragmented architectures and rising costs. This guide reveals how leading enterprises achieve 80% cost reductions and 33% performance improvements by unifying their data infrastructure with Apache Iceberg and object-native storage.
What you’ll learn
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How to evaluate and implement Apache Iceberg, Delta Lake, and Apache Hudi for your lakehouse architecture
How to unify structured and unstructured data using Apache Iceberg integration
Proven deployment models for predictive AI, generative AI, and agentic AI systems that require real-time access to enterprise data at scale
Strategies for migrating from fragmented data warehouses and lakes to a unified object-native storage layer
Reference architectures for batch-centric, hybrid real-time, and multi-engine lakehouses
