April 2026
Beginner to intermediate
408 pages
13h 26m
English
Content preview from Architecting an Apache Iceberg Lakehouse
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9 Understanding the consumption layer
This chapter covers
- Semantic consistency across tools
- Open interfaces such as JDBC, ODBC, Arrow Flight, and MCP
- Evaluating BI tools, notebook environments, and AI platforms for integration
- Choosing the right consumption tools
Now that your lakehouse has a solid foundation, from storage and ingestion to catalog and federation, it’s time to focus on where data creates value: consumption. This is where your lakehouse architecture begins to yield insights, drive decisions, and power innovation. Whether you’re enabling real-time dashboards, supporting ad hoc data exploration in Python notebooks, SQL querying, natural language analytics with AI agents, or training large-scale machine learning models, the ...
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