DatriseAI-first ETL

Netsuite Suite Analytics Legacy Amazon Athena

AI-first ETL from Netsuite Suite Analytics Legacy into Amazon Athena. Governed entities, incremental sync, typed landing tables.

How Datrise loads Netsuite Suite Analytics Legacy into Amazon Athena

Datrise syncs Netsuite Suite Analytics Legacy's records, events, and configuration objects into Amazon Athena as partitioned Parquet in S3 exposed as an Athena table. Flexible or custom fields land in struct/map columns in Parquet, and timestamps such as created, updated, and status changes are typed as timestamp.

Sync is incremental: Datrise uses writes new Parquet partitions and registers them in the Glue Data Catalog, so re-runs update only what changed. Hive-style partitioning by load date so Athena scans only new data. Athena bills per byte scanned and small files hurt, so Datrise compacts to right-sized Parquet rather than many tiny objects.

Ideal for serverless SQL over an S3 lake without a running warehouse.

Endpoints

Netsuite Suite Analytics Legacy: SaaS or API data source for analytics and warehouse sync.

Amazon Athena: Serverless SQL over S3 data lake tables.

How Netsuite Suite Analytics Legacy entities map to Amazon Athena

Netsuite Suite Analytics Legacy entityAmazon Athena objectNotes
recordsnetsuite_suite_analytics_legacy_recordsid PK · custom fields → struct/map columns in Parquet
eventsnetsuite_suite_analytics_legacy_eventstimestamp events
configuration objectsnetsuite_suite_analytics_legacy_configuration_objectsid PK · linked to netsuite_suite_analytics_legacy_records

FAQ

How does Datrise handle Netsuite Suite Analytics Legacy's custom fields in Amazon Athena?

Flexible values are stored as struct/map columns in Parquet, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon Athena types.

How does the Netsuite Suite Analytics Legacy to Amazon Athena sync stay up to date?

It runs incrementally — Datrise uses writes new Parquet partitions and registers them in the Glue Data Catalog.

Related pipelines

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