DatriseAI-first ETL

PayPal Transactions to Azure Synapse Integration

AI-first ETL from PayPal Transactions into Azure Synapse. Governed entities, incremental sync, typed landing tables.

How Datrise loads PayPal Transactions into Azure Synapse

Datrise syncs PayPal Transactions's transactions, payers, balances, fees, refunds, and currency conversions 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

PayPal Transactions: PayPal transaction history and settlement detail.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How PayPal Transactions entities map to Azure Synapse

PayPal Transactions entityAzure Synapse objectNotes
transactionspaypal_transaction_transactionsid PK · custom fields → NVARCHAR(MAX) JSON columns
payerspaypal_transaction_payersid PK · linked to paypal_transaction_transactions
balancespaypal_transaction_balancesid PK · linked to paypal_transaction_transactions
feespaypal_transaction_feesid PK · linked to paypal_transaction_transactions

FAQ

How does Datrise handle PayPal Transactions'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 PayPal Transactions to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

Related pipelines

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