CoinAPI to Azure Data Lake Storage Integration
AI-first ETL from CoinAPI into Azure Data Lake Storage. Governed entities, incremental sync, typed landing tables.
How Datrise loads CoinAPI into Azure Data Lake Storage
Datrise syncs CoinAPI's exchange rates, symbols, trades, order book snapshots, OHLCV bars, and exchanges into Azure Data Lake Storage as partitioned Parquet in ADLS Gen2 per source entity. Flexible or custom fields land in nested struct/map fields in Parquet, and timestamps such as created, updated, and status changes are typed as ISO-8601 timestamp columns.
Sync is incremental: Datrise uses writes new date partitions to the container and compacts on a schedule, so re-runs update only what changed. Hive-style partitioning by load date, readable by Synapse and Databricks. ADLS hierarchical namespace makes folder layout matter, so Datrise keeps a predictable entity/date path your Azure engines mount directly.
Ideal for Azure lakehouse storage shared across Synapse and Databricks.
Endpoints
CoinAPI: Consolidated crypto market data API.
Azure Data Lake Storage: ADLS Gen2 object storage for analytics workloads.
How CoinAPI entities map to Azure Data Lake Storage
| CoinAPI entity | Azure Data Lake Storage object | Notes |
|---|---|---|
| exchange rates | coin_api_exchange_rates | ISO-8601 timestamp columns events |
| symbols | coin_api_symbols | id PK · linked to coin_api_exchange_rates |
| trades | coin_api_trades | id PK · linked to coin_api_exchange_rates |
| order book snapshots | coin_api_order_book_snapshots | id PK · linked to coin_api_exchange_rates |
FAQ
How does Datrise handle CoinAPI's custom fields in Azure Data Lake Storage?
Flexible values are stored as nested struct/map fields in Parquet, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Data Lake Storage types.
How does the CoinAPI to Azure Data Lake Storage sync stay up to date?
It runs incrementally — Datrise uses writes new date partitions to the container and compacts on a schedule.
Related pipelines
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Early access
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