Build a Real-Time Analytics Pipeline with ClickHouse on Google Cloud

[odidev]

1. Provision an Arm-based SUSE SLES virtual machine on Google Cloud using C4A (Axion processors)
2. Configure Google Cloud Pub/Sub for real-time log ingestion
3. Deploy and validate ClickHouse on a SUSE Linux Arm64 (Axion) VM
4. Build a streaming ETL pipeline using Apache Beam and Google Dataflow
5. Ingest real-time Pub/Sub data into ClickHouse using Dataflow
6. Validate end-to-end data flow from Pub/Sub to ClickHouse
7. Perform baseline and analytical query benchmarking on ClickHouse running on Arm64
8. Measure and report query latency (including p95) on Axion processors

• [ * ] I have reviewed Create a Learning Path
• [ * ] I have checked my contribution for confidential information
  By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of the Creative Commons Attribution 4.0 International License.

Signed-off-by: odidev odidev@puresoftware.com.