April 2026
Beginner to intermediate
408 pages
13h 26m
English
Content preview from Architecting an Apache Iceberg Lakehouse
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6 Architecting the ingestion layer
This chapter covers
- Requirements for ingestion performance, reliability, and latency
- Comparing batch, micro-batch, and streaming ingestion strategies
- How Iceberg handles data writes, commits, and conflict resolution
- Ingestion technologies such as Spark, Flink, and others
- Ingestion patterns for schema evolution, data quality, and auditability
The ingestion layer is the starting point for your Apache Iceberg lakehouse. It is where raw data enters the system, whether from operational databases, message queues, cloud services, or external vendors. While the storage layer determines how data is preserved, the ingestion layer determines how data arrives: how fast, how clean, and how reliably.
Designing this ...
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