Project 2: Multi-Tenant Analytics Warehouse with Partitioning0%

Project 3: Enterprise Compliance & Automated Event Audit Engine

Project 2: Multi-Tenant Analytics Warehouse with Partitioning

Advanced25 min read•Updated: 2026-09-12

Project 2: Multi-Tenant Analytics Warehouse with Partitioning

Advanced Capstone Project 2: Multi-Tenant Analytics Warehouse with Partitioning

In software-as-a-service (SaaS) business models, multi-tenant databases store telemetry and analytics data for thousands of corporate tenants in a shared data warehouse. As event volume scales into tens of millions of records per month, architects must leverage Range Partitioning, Virtual Columns, and Window Functions to deliver sub-second analytical reporting.

1. Warehouse Architecture & Schema DDL

Visual Architecture & Process Flow

How data and code flow step-by-step

Flowchart

Step 1

latency_ms INT GENERATED ALWAYS AS (payload

Step 2

>'$.response_time_ms') VIRTUAL,

2. Populating Enterprise Seed Data

1-- Seed Tenants
2INSERT INTO tenants (tenant_id, company_name, plan_tier, created_at) VALUES
3(1, 'Acme Cloud Corp', 'ENTERPRISE', '2024-01-10'),
4(2, 'Starlight Media', 'GROWTH', '2024-06-15'),
5(3, 'Nexus Fintech', 'ENTERPRISE', '2025-02-01');
6 
7-- Seed Event Telemetry
8INSERT INTO tenant_event_logs (tenant_id, event_name, event_timestamp, payload) VALUES
9(1, 'api_request', '2025-08-10 10:15:00', '{"endpoint": "/v1/users", "response_time_ms": 45, "status": 200}'),
10(1, 'api_request', '2025-08-10 10:16:00', '{"endpoint": "/v1/reports", "response_time_ms": 320, "status": 200}'),
11(1, 'api_request', '2025-08-10 10:17:00', '{"endpoint": "/v1/users", "response_time_ms": 52, "status": 200}'),
12(2, 'api_request', '2025-08-10 11:00:00', '{"endpoint": "/v1/stream", "response_time_ms": 110, "status": 200}'),
13(3, 'api_request', '2025-08-10 12:30:00', '{"endpoint": "/v1/transfer", "response_time_ms": 850, "status": 504}'),
14(1, 'api_request', '2026-01-05 09:00:00', '{"endpoint": "/v1/billing", "response_time_ms": 65, "status": 200}');

3. High-Performance Executive Analytics Queries

Query 1: Partition-Pruned Latency Percentiles per Tenant

Calculate average, 95th percentile, and moving average latency while pruning to partition p2025:

1EXPLAIN 
2SELECT 
  t.company_name,
  e.event_timestamp,
  e.latency_ms,
  -- Running average latency for tenant
  ROUND(
      AVG(e.latency_ms) OVER (
          PARTITION BY e.tenant_id 
          ORDER BY e.event_timestamp 
          ROWS BETWEEN 5 PRECEDING AND CURRENT ROW
      ), 
      1
  ) AS rolling_latency_avg,
  -- Percentile rank of latency
  ROUND(PERCENT_RANK() OVER (PARTITION BY e.tenant_id ORDER BY e.latency_ms ASC), 3) AS latency_percentile
17FROM tenant_event_logs e
18JOIN tenants t ON e.tenant_id = t.tenant_id
19WHERE e.event_timestamp >= '2025-01-01' AND e.event_timestamp < '2026-01-01'
20ORDER BY t.company_name, e.event_timestamp;

Query 2: Multi-Tenant JSON SLA Compliance Dashboard View

1CREATE OR REPLACE VIEW v_tenant_sla_metrics AS
2SELECT 
3    t.tenant_id,
4    t.company_name,
5    t.plan_tier,
6    COUNT(e.event_id) AS total_requests,
7    ROUND(AVG(e.latency_ms), 1) AS avg_latency_ms,
8    MAX(e.latency_ms) AS max_latency_ms,
9    -- Count SLA breaches (latency > 500ms)
10    SUM(CASE WHEN e.latency_ms > 500 THEN 1 ELSE 0 END) AS sla_breaches,
11    ROUND(
12        (SUM(CASE WHEN e.latency_ms <= 500 THEN 1 ELSE 0 END) / COUNT(e.event_id)) * 100, 
13        2
14    ) AS sla_compliance_percentage
15FROM tenants t
16LEFT JOIN tenant_event_logs e ON t.tenant_id = e.tenant_id
17GROUP BY t.tenant_id, t.company_name, t.plan_tier;
18 
19-- Query SLA compliance view
20SELECT * FROM v_tenant_sla_metrics;

Interactive Quiz• Knowledge Check

Multiple Choice Questions

Question 1

Why was PRIMARY KEY (event_id, event_timestamp) defined on tenant_event_logs?

Question 2

What allows the query WHERE latency_ms > 500 to utilize an index even though the latency value is stored in JSON?

Question 3

Which partition is scanned when querying WHERE event_timestamp BETWEEN '2025-06-01' AND '2025-07-01'?

Question 4

What does the rolling_latency_avg calculation demonstrate?

Question 5

How can 2024 telemetry data be instantly removed at the end of its retention window without downtime?

Next Lesson

Project 3: Enterprise Compliance & Automated Event Audit Engine

Continue learning with hands-on practice, examples, and exercises in the upcoming topic.

Related Lessons

Previous Lesson	Next Lesson
Project 1: Fintech High-Performance Transaction Engine	Project 3: Enterprise Compliance & Automated Event Audit Engine

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Project 3: Enterprise Compliance & Automated Event Audit Engine

Project 2: Multi-Tenant Analytics Warehouse with Partitioning

Advanced25 min read•Updated: 2026-09-12

Study Materials Cheatsheet

Project 2: Multi-Tenant Analytics Warehouse with Partitioning

Advanced Capstone Project 2: Multi-Tenant Analytics Warehouse with Partitioning

1. Warehouse Architecture & Schema DDL

Visual Architecture & Process Flow

How data and code flow step-by-step

Flowchart

Step 1

latency_ms INT GENERATED ALWAYS AS (payload

Step 2

>'$.response_time_ms') VIRTUAL,

2. Populating Enterprise Seed Data

1-- Seed Tenants
2INSERT INTO tenants (tenant_id, company_name, plan_tier, created_at) VALUES
3(1, 'Acme Cloud Corp', 'ENTERPRISE', '2024-01-10'),
4(2, 'Starlight Media', 'GROWTH', '2024-06-15'),
5(3, 'Nexus Fintech', 'ENTERPRISE', '2025-02-01');
6 
7-- Seed Event Telemetry
8INSERT INTO tenant_event_logs (tenant_id, event_name, event_timestamp, payload) VALUES
9(1, 'api_request', '2025-08-10 10:15:00', '{"endpoint": "/v1/users", "response_time_ms": 45, "status": 200}'),
10(1, 'api_request', '2025-08-10 10:16:00', '{"endpoint": "/v1/reports", "response_time_ms": 320, "status": 200}'),
11(1, 'api_request', '2025-08-10 10:17:00', '{"endpoint": "/v1/users", "response_time_ms": 52, "status": 200}'),
12(2, 'api_request', '2025-08-10 11:00:00', '{"endpoint": "/v1/stream", "response_time_ms": 110, "status": 200}'),
13(3, 'api_request', '2025-08-10 12:30:00', '{"endpoint": "/v1/transfer", "response_time_ms": 850, "status": 504}'),
14(1, 'api_request', '2026-01-05 09:00:00', '{"endpoint": "/v1/billing", "response_time_ms": 65, "status": 200}');

3. High-Performance Executive Analytics Queries

Query 1: Partition-Pruned Latency Percentiles per Tenant

Calculate average, 95th percentile, and moving average latency while pruning to partition p2025:

1EXPLAIN 
2SELECT 
  t.company_name,
  e.event_timestamp,
  e.latency_ms,
  -- Running average latency for tenant
  ROUND(
      AVG(e.latency_ms) OVER (
          PARTITION BY e.tenant_id 
          ORDER BY e.event_timestamp 
          ROWS BETWEEN 5 PRECEDING AND CURRENT ROW
      ), 
      1
  ) AS rolling_latency_avg,
  -- Percentile rank of latency
  ROUND(PERCENT_RANK() OVER (PARTITION BY e.tenant_id ORDER BY e.latency_ms ASC), 3) AS latency_percentile
17FROM tenant_event_logs e
18JOIN tenants t ON e.tenant_id = t.tenant_id
19WHERE e.event_timestamp >= '2025-01-01' AND e.event_timestamp < '2026-01-01'
20ORDER BY t.company_name, e.event_timestamp;

Query 2: Multi-Tenant JSON SLA Compliance Dashboard View

1CREATE OR REPLACE VIEW v_tenant_sla_metrics AS
2SELECT 
3    t.tenant_id,
4    t.company_name,
5    t.plan_tier,
6    COUNT(e.event_id) AS total_requests,
7    ROUND(AVG(e.latency_ms), 1) AS avg_latency_ms,
8    MAX(e.latency_ms) AS max_latency_ms,
9    -- Count SLA breaches (latency > 500ms)
10    SUM(CASE WHEN e.latency_ms > 500 THEN 1 ELSE 0 END) AS sla_breaches,
11    ROUND(
12        (SUM(CASE WHEN e.latency_ms <= 500 THEN 1 ELSE 0 END) / COUNT(e.event_id)) * 100, 
13        2
14    ) AS sla_compliance_percentage
15FROM tenants t
16LEFT JOIN tenant_event_logs e ON t.tenant_id = e.tenant_id
17GROUP BY t.tenant_id, t.company_name, t.plan_tier;
18 
19-- Query SLA compliance view
20SELECT * FROM v_tenant_sla_metrics;

Interactive Quiz• Knowledge Check

Multiple Choice Questions

Question 1

Why was PRIMARY KEY (event_id, event_timestamp) defined on tenant_event_logs?

Question 2

What allows the query WHERE latency_ms > 500 to utilize an index even though the latency value is stored in JSON?

Question 3

Which partition is scanned when querying WHERE event_timestamp BETWEEN '2025-06-01' AND '2025-07-01'?

Question 4

What does the rolling_latency_avg calculation demonstrate?

Question 5

How can 2024 telemetry data be instantly removed at the end of its retention window without downtime?

Next Lesson

Project 3: Enterprise Compliance & Automated Event Audit Engine

Continue learning with hands-on practice, examples, and exercises in the upcoming topic.

Related Lessons

Previous Lesson	Next Lesson
Project 1: Fintech High-Performance Transaction Engine	Project 3: Enterprise Compliance & Automated Event Audit Engine

Practice Quiz

Test your understanding of this lesson with 5 questions. Each question has one correct answer.

Previous Next