Amazon Kinesis integration
Amazon Kinesis data, in your warehouse.
A built-in ingestr connector: add credentials, pick tables, schedule it.
name: raw.table
type: ingestr
parameters:
source_connection: amazon_kinesis
source_table: '<table>'
destination: snowflake
incremental_strategy: merge$ bruin run assets/raw/amazon_kinesis.asset.yml
- extract · Amazon Kinesis dataincremental
- load · snowflake raw.datamerged
- checks · not_null, unique
Loaded and checked. Downstream models can run.
How it connects
Connected in three steps.
AWS managed streaming data service for real-time processing of streaming data at scale, supporting data ingestion and analytics.
- 01
Add a Amazon Kinesis connection with its credentials.
- 02
Pick the tables to load and how: replace, append or merge.
- 03
Bruin runs it on your schedule and checks every load.
Connection parameters
- access_key_id
- AWS access key ID
- secret_access_key
- AWS secret access key
- region_name
- AWS region for the Kinesis stream
- stream_name
- Kinesis data stream name
Step-by-step
Pick a destination.
Amazon Kinesis → Snowflake
Read the guide
Amazon Kinesis → Google BigQuery
Read the guide
Amazon Kinesis → Databricks
Read the guide
Amazon Kinesis → Amazon Redshift
Read the guide
Amazon Kinesis → PostgreSQL
Read the guide
Amazon Kinesis → ClickHouse
Read the guide
Amazon Kinesis → DuckDB
Read the guide
Amazon Kinesis → MotherDuck
Read the guide
The platform
Part of the Bruin platform.
Data in, ready for everything downstream: the models, the checks, the lineage and the AI layer.
Sources
DatabasesWarehousesApps & APIsFiles & storageStreams & webhooksWeb scrapingMove
Data IngestionStreams & queues
More tools, same category.
Frequently asked
Questions about Amazon Kinesis.
Does Bruin have a built-in Amazon Kinesis integration?
Yes. Built-in ingestr source.
Where can Amazon Kinesis data go?
Snowflake, BigQuery, Databricks, Redshift, ClickHouse, Postgres, DuckDB, MotherDuck, Microsoft Fabric and more, plus files on S3 and GCS.
How fresh is the data?
As fresh as your schedule. Incremental loads append, merge or replace a time window, every few minutes if you like.
Do we need Bruin Cloud?
No. The Bruin CLI and ingestr run locally, in CI or in your own orchestrator. Bruin Cloud adds scheduling, lineage, alerts and the AI data analyst on top.
Ready to connect Amazon Kinesis?
$100 in credits and 50 AI tasks. No credit card.
A demo walks through your own data.