LivePerson to Azure Synapse Integration
AI-first ETL from LivePerson into Azure Synapse. Governed entities, incremental sync, typed landing tables.
How Datrise loads LivePerson into Azure Synapse
Datrise syncs LivePerson's conversations, agents, skills, messages, surveys, and engagement metrics into Azure Synapse as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.
Sync is incremental: Datrise uses COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.
Ideal for Azure analytics estates feeding Power BI.
Endpoints
LivePerson: Messaging-first customer conversations and bots.
Azure Synapse: Microsoft analytics workspace with SQL pools.
How LivePerson entities map to Azure Synapse
| LivePerson entity | Azure Synapse object | Notes |
|---|---|---|
| conversations | liveperson_conversations | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| agents | liveperson_agents | id PK · linked to liveperson_conversations |
| skills | liveperson_skills | id PK · linked to liveperson_conversations |
| messages | liveperson_messages | id PK · linked to liveperson_conversations |
FAQ
How does Datrise handle LivePerson's custom fields in Azure Synapse?
Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Synapse types.
How does the LivePerson to Azure Synapse sync stay up to date?
It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.
Related pipelines
More destinations for LivePerson
More sources for Azure Synapse
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