Yandex Metrica to Azure Data Lake Storage Integration
AI-first ETL from Yandex Metrica into Azure Data Lake Storage. Governed entities, incremental sync, typed landing tables.
How Datrise loads Yandex Metrica into Azure Data Lake Storage
Datrise syncs Yandex Metrica's sessions, visitors, pageviews, traffic sources, goals, and user parameters 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
Yandex Metrica: Website traffic analytics and session recordings.
Azure Data Lake Storage: ADLS Gen2 object storage for analytics workloads.
How Yandex Metrica entities map to Azure Data Lake Storage
| Yandex Metrica entity | Azure Data Lake Storage object | Notes |
|---|---|---|
| sessions | yandex_metrica_sessions | id PK · custom fields → nested struct/map fields in Parquet |
| visitors | yandex_metrica_visitors | id PK · linked to yandex_metrica_sessions |
| pageviews | yandex_metrica_pageviews | id PK · linked to yandex_metrica_sessions |
| traffic sources | yandex_metrica_traffic_sources | id PK · linked to yandex_metrica_sessions |
FAQ
How does Datrise handle Yandex Metrica'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 Yandex Metrica 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
More destinations for Yandex Metrica
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- Yandex Metrica → Supabase
- Yandex Metrica → Neon
- Yandex Metrica → PlanetScale
- Yandex Metrica → Amazon DynamoDB
- Yandex Metrica → Looker
- Yandex Metrica → Looker Studio
- Yandex Metrica → Microsoft Power BI
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Early access
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