Data Integration Architecture

INTEGRATION ARCHITECTURE PATTERNS

Pattern 1: Point-to-Point

┌──────────┐     ┌──────────┐
│  System  │────▶│  System  │
│    A     │◀────│    B     │
└──────────┘     └──────────┘

Use when: Simple, 2 systems only Pros: Fast to implement Cons: Doesn't scale, hard to maintain

Pattern 2: Hub and Spoke

              ┌──────────┐
              │  System  │
              │    A     │
              └────┬─────┘
                   │
┌──────────┐  ┌────┴────┐  ┌──────────┐
│  System  │──│   HUB   │──│  System  │
│    B     │  │ (iPaaS) │  │    C     │
└──────────┘  └────┬────┘  └──────────┘
                   │
              ┌────┴─────┐
              │  System  │
              │    D     │
              └──────────┘

Use when: Multiple systems, central control needed Pros: Centralized management, scalable Cons: Hub becomes single point of failure

Pattern 3: Event-Driven

┌──────────┐    ┌───────────────┐    ┌──────────┐
│ Producer │───▶│  Event Bus    │───▶│ Consumer │
└──────────┘    │  (Kafka/SQS)  │    └──────────┘
               └───────────────┘

Use when: Real-time data needed, high volume Pros: Scalable, loosely coupled Cons: Complex to implement

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DATA FLOW DOCUMENTATION

Integration Map

Source	Destination	Data	Frequency	Method
Website	GA4	Events	Real-time	JavaScript
GA4	BigQuery	Analytics	Daily	Native
CRM	MAP	Contacts	Real-time	API
MAP	CRM	Activities	Real-time	API
Ad Platforms	Warehouse	Spend	Daily	ETL
Website	CRM	Form data	Real-time	Webhook

Data Dictionary

Field Name	Source System	Data Type	Description	Example
email	CRM	String	Primary email	john@co.com
lead_score	MAP	Integer	Engagement score	85
utm_source	Website	String	Traffic source	linkedin
opp_value	CRM	Currency	Opportunity value	$50,000

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API INTEGRATION GUIDE

Authentication Methods

Method	Use Case	Security Level
API Key	Simple integrations	Basic
OAuth 2.0	User-context needed	High
JWT	Stateless auth	High
Basic Auth	Legacy systems	Low

Standard API Workflow

1. Authenticate
   └─▶ Get access token
2. Request
   └─▶ Make API call with token
3. Handle Response
   └─▶ Process data or handle error
4. Rate Limit
   └─▶ Respect API limits (back off if needed)

Error Handling

Error Code	Meaning	Action
400	Bad request	Fix request format
401	Unauthorized	Refresh token
403	Forbidden	Check permissions
429	Rate limited	Wait and retry
500	Server error	Retry with backoff

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IPAAS SELECTION CRITERIA

Criteria	Weight	Vendor A	Vendor B	Vendor C
Connectors	25%
Pre-built connectors		/5	/5	/5
Custom connector ability		/5	/5	/5
Capabilities	30%
Data transformation		/5	/5	/5
Error handling		/5	/5	/5
Scheduling options		/5	/5	/5
Real-time support		/5	/5	/5
Usability	20%
Ease of use		/5	/5	/5
Documentation		/5	/5	/5
Operations	15%
Monitoring/alerting		/5	/5	/5
Logging		/5	/5	/5
Cost	10%
Pricing model		/5	/5	/5
TOTAL	100%

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INTEGRATION MONITORING SETUP

Health Checks

Integration	Check Type	Frequency	Alert Threshold
CRM sync	Record count	Hourly	<50% expected
Ad spend import	Completeness	Daily	Missing >1 day
Lead flow	Latency	Real-time	>5 min delay
Form submission	Success rate	Hourly	<95%

Alert Configuration

Severity	Response Time	Channel	Escalation
Critical	<15 min	PagerDuty	Manager
High	<1 hour	Slack + Email	Team lead
Medium	<4 hours	Email	Team
Low	<24 hours	Ticket	Backlog

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