updated the cloud storage to GCP

Author: nayanj98

docs/benchmarks/optimization.mdx

@@ -60,7 +60,7 @@ Using the compaction infrastructure and total compaction durations from this ben
 
 ### Benchmark Workflow
 
-- **Data preparation:** Generated TPCH data at 300 GB scale, loaded it into Azure PostgreSQL server, and ingested it as Apache Iceberg tables in AWS S3 bucket using OLake (full load).
+- **Data preparation:** Generated TPCH data at 300 GB scale, loaded it into Azure PostgreSQL server, and ingested it as Apache Iceberg tables in GCP bucket using OLake (full load).
 - **CDC-like change generation:** Used a Python script to run periodic `UPDATE` statements on `lineitem`, changing `l_comment` for approximately **200,000 random rows every 2 minutes** for **120 total runs** to simulate continuous CDC pressure.
 
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