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🔄 Fivetran – Data Ingestion to Data Lake ​

Fivetran is a fully managed ELT (Extract, Load, Transform) platform that automates data ingestion from various sources into the enterprise Data Lake. It simplifies the integration of SaaS applications, databases, and cloud services with minimal maintenance.

🔍 Description ​

Fivetran provides pre-built connectors that continuously sync data from source systems into cloud storage or data warehouses. It is designed for zero-maintenance pipelines, handling schema changes, API updates, and incremental loads automatically.

📦 Use Cases ​

  • Ingesting data from SaaS platforms (e.g., Salesforce, NetSuite, Google Ads)
  • Replicating data from operational databases (e.g., PostgreSQL, MySQL, Oracle)
  • Feeding raw data into the Data Lake for downstream processing
  • Supporting analytics, reporting, and machine learning use cases

🧱 Architecture ​

[Source Systems: SaaS / DBs]
↓
[Fivetran]
↓
[Landing Zone in Azure Data Lake]
↓
[Transformation via ADF / External]

✅ Best Practices ​

  • Use incremental syncs to reduce load and latency
  • Monitor connector health via the Fivetran dashboard
  • Tag connectors by domain, data owner, and criticality
  • Document data lineage from source to lake
  • Schedule syncs based on data freshness requirements
  • Apply naming conventions for connectors and destinations
  • Avoid unnecessary transformations in Fivetran; delegate to downstream tools

🔐 Governance & Access ​

  • Access managed via SSO and role-based permissions
  • Data encrypted in transit and at rest
  • Audit logs available for all sync activities
  • Integrate with Azure Key Vault for credential management
  • Apply data classification and retention policies post-ingestion
  • Ensure connector ownership is clearly defined and documented

🛣️ Roadmap ​

  • Expand coverage to additional internal systems via custom connectors
  • Integrate with Microsoft Purview for metadata and lineage tracking
  • Automate data quality checks post-ingestion
  • Enable alerting and anomaly detection on sync failures
  • Evaluate cost optimization strategies for high-volume connectors
  • Standardize naming and tagging across all connectors

🧠 Fivetran accelerates data onboarding by eliminating the need for custom ingestion scripts, enabling teams to focus on value-added transformations and insights.