CoinMarketCap to Amazon S3 Data Lake Integration
AI-first ETL from CoinMarketCap into Amazon S3 Data Lake. Governed entities, incremental sync, typed landing tables.
How Datrise loads CoinMarketCap into Amazon S3 Data Lake
Datrise syncs CoinMarketCap's cryptocurrencies, quotes, market caps, trading volumes, exchange listings, and rankings into Amazon S3 Data Lake as columnar Parquet objects partitioned 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 and compacts small files on a schedule, so re-runs update only what changed. Hive-style path partitioning (entity/date) for engine-agnostic reads. A lake has no schema enforcement, so Datrise writes a schema manifest alongside the data to keep downstream engines consistent.
Ideal for an open, engine-neutral storage layer for Spark, Athena, Trino, or DuckDB.
Endpoints
CoinMarketCap: Crypto asset rankings, quotes, and market caps.
Amazon S3 Data Lake: Object storage landing zone for parquet and snapshots.
How CoinMarketCap entities map to Amazon S3 Data Lake
| CoinMarketCap entity | Amazon S3 Data Lake object | Notes |
|---|---|---|
| cryptocurrencies | coinmarketcap_cryptocurrencies | id PK · custom fields → nested struct/map fields in Parquet |
| quotes | coinmarketcap_quotes | id PK · linked to coinmarketcap_cryptocurrencies |
| market caps | coinmarketcap_market_caps | id PK · linked to coinmarketcap_cryptocurrencies |
| trading volumes | coinmarketcap_trading_volumes | id PK · linked to coinmarketcap_cryptocurrencies |
FAQ
How does Datrise handle CoinMarketCap's custom fields in Amazon S3 Data Lake?
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 Amazon S3 Data Lake types.
How does the CoinMarketCap to Amazon S3 Data Lake sync stay up to date?
It runs incrementally — Datrise uses writes new date partitions and compacts small files on a schedule.
Related pipelines
More destinations for CoinMarketCap
- CoinMarketCap → Azure Data Lake Storage
- CoinMarketCap → Azure Synapse
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- CoinMarketCap → Airtable
- CoinMarketCap → CSV Files
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- CoinMarketCap → Supabase
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- CoinMarketCap → Looker
- CoinMarketCap → Looker Studio
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Early access
Connect CoinMarketCap to Amazon S3 Data Lake the easy way
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