Build a Real-Time Analytics Pipeline with ClickHouse on Google Cloud Axion (Arm-based C4A VMs)

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

Author: odidev

content/learning-paths/servers-and-cloud-computing/clickhouse-gcp/_index.md

@@ -1,19 +1,24 @@
 ---
-title: Deploy ClickHouse on Google Cloud C4A Arm virtual machines
+title: Build a Real-Time Analytics Pipeline with ClickHouse on Google Cloud Axion (Arm-based C4A VMs)
 
-minutes_to_complete: 30
+minutes_to_complete: 50
 
-who_is_this_for: This is an introductory topic for developers deploying and optimizing ClickHouse on Arm-based Linux environments using Google Cloud C4A virtual machines powered by Axion processors, to evaluate ClickHouse performance and behaviour on Arm-based infrastructure.
+who_is_this_for: This learning path is intended for software developers, data engineers, and platform engineers who want to build and benchmark a real-time analytics pipeline using ClickHouse on Linux/Arm64 environments, specifically Google Cloud C4A virtual machines powered by Axion processors.
 
 learning_objectives:
-  - Provision an Arm-based SUSE SLES virtual machine on Google Cloud using C4A instances powered by Axion processors
-  - Install and start a ClickHouse server on a SUSE Arm64 (C4A) virtual machine
-  - Verify ClickHouse functionality by connecting to the server and running basic insert and query operations
-  - Run baseline ClickHouse performance tests to produce throughput and query latency results for evaluating Arm-based deployments on Google Cloud
+  - Provision an Arm-based SUSE SLES virtual machine on Google Cloud using C4A (Axion processors)
+  - Configure Google Cloud Pub/Sub for real-time log ingestion
+  - Deploy and validate ClickHouse on a SUSE Linux Arm64 (Axion) VM
+  - Build a streaming ETL pipeline using Apache Beam and Google Dataflow
+  - Ingest real-time Pub/Sub data into ClickHouse using Dataflow
+  - Validate end-to-end data flow from Pub/Sub to ClickHouse
+  - Perform baseline and analytical query benchmarking on ClickHouse running on Arm64
+  - Measure and report query latency (including p95) on Axion processors
 
 prerequisites:
   - A [Google Cloud Platform (GCP)](https://cloud.google.com/free) account with billing enabled
   - Basic familiarity with [ClickHouse](https://clickhouse.com/)
+  - Basic understanding of databases and SQL
 
 author: Pareena Verma
 
@@ -27,7 +32,10 @@ armips:
 
 tools_software_languages:
   - ClickHouse
-  - clickhouse-benchmark
+  - Apache Beam
+  - Google Dataflow
+  - Google Cloud Pub/Sub
+  - Python 3.11
 
 operatingsystems:
   - Linux

content/learning-paths/servers-and-cloud-computing/clickhouse-gcp/baseline.md

@@ -1,6 +1,7 @@
 ---
 title: Establish a ClickHouse baseline on Arm
-weight: 5
+weight: 7
+
 
 ### FIXED, DO NOT MODIFY
 layout: learningpathall