Zero-copy

As explained in Architecting an Apache Iceberg Lakehouse

Zero-copy data exchange transfers data between compatible systems without copying the underlying in-memory representation.

Zero-copy data exchange moves data between compatible systems without copying its underlying in-memory representation. Apache Arrow supports this through a standardized in-memory columnar format that reduces serialization overhead and memory use. section 8.2.3

In federated analytics, Arrow-native interfaces let systems retrieve large datasets with lower serialization costs, partition and parallelize results, and improve intersystem query execution. Dremio uses Arrow for vectorized execution and zero-copy exchange with connected BI tools and data science notebooks. section 8.2.3 section 8.3.4

Figure 8.4 By using industry-standard interfaces like JDBC, ODBC, Arrow Flight, and platform-specific REST APIs, customer software, AI, and BI can communicate with all the data accessible in your federation layer. In this figure, each interface delivers data to AI, BI, and custom data applications.

Shows how Arrow Flight and other interfaces deliver federated data to BI, AI, and custom applications. section 8.2.3

How Architecting an Apache Iceberg Lakehouse covers it

How deep it goes

Explains the Arrow in-memory columnar mechanism and its performance effects, but does not detail memory-management or compatibility guarantees.

Examples

Uses large-dataset retrieval, partitioned query results, BI dashboards, and notebook connections as performance scenarios.

What you can do after

Apply it via Apache Arrow, Arrow Flight, or ADBC to exchange analytical data with lower serialization costs.

How it connects

Connects Apache Arrow with Arrow Flight, ADBC, Dremio, BI tools, data science notebooks, and federated query engines.

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Also explained in

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  First-Party Data ActivationA data-access pattern in which applications use data in its existing location without creating additional copies.

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Related concepts

• Apache Arrowused by · Apache Arrow is an open, language-independent specification and software ecosystem for representing and processing columnar data in memory.
• TLScontrasts with · Transport Layer Security (TLS) is a cryptographic protocol that protects network communications through confidentiality, integrity, and authentication of communicating endpoints.
• securityaddresses · The protection of systems, information, resources, and operations against unauthorized access, use, disclosure, alteration, disruption, or destruction.

This explainer was generated by Manning's knowledge graph from the text of Architecting an Apache Iceberg Lakehouse. The section links point to the parts of the book it draws on.