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Google Cloud Storage

As explained in Architecting an Apache Iceberg Lakehouse

Google Cloud Storage is Google's fully managed object-storage service for storing and accessing data as objects.

Google Cloud Storage (GCS) is fully managed, scalable object storage organized into buckets and objects. It provides strong consistency, high availability, global accessibility, and REST access, making it a reliable backend for elastic Iceberg lakehouses. section 5.4.4

GCS fits lakehouse architectures through several operational properties:

  • Integrates with BigQuery, Dataflow, Vertex AI, Spark on Dataproc, and Trino across analytics and machine-learning workflows. section 5.4.4
  • Supports Standard, Nearline, Coldline, and Archive classes, allowing recent metadata and partitions to remain fast while older snapshots move to cheaper tiers. section 5.4.4
  • Offers predictable throughput and parallel object access for large batch workloads, particularly when compute is colocated. section 5.5.1
  • Supports customer-managed encryption keys, object-level access logging, and GCP Audit Logs for regulated deployments. section 5.5.2

Overnight Iceberg ETL

A team processing hundreds of gigabytes nightly can use GCS for sustained-throughput reads and writes to partitioned Iceberg tables, accepting latency spikes while keeping total runtime within a multi-hour window. section 5.5.1

How Architecting an Apache Iceberg Lakehouse covers it

How deep it goes
Explains consistency, storage classes, workload performance, and auditability without providing configuration procedures.
Examples
Uses tiered Iceberg data, overnight batch ETL, concurrent metadata access, and regulated public-cloud deployments as examples.
What you can do after
Evaluate GCS as a consistent, scalable, tiered storage backend for batch-oriented Iceberg workloads and regulated cloud deployments.
How it connects
Connects Iceberg lakehouses with BigQuery, Dataflow, Vertex AI, Dataproc, Trino, REST APIs, and GCP Audit Logs.

Related concepts

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.