Streaming Data At Scale
What if you could stream up to 140,000 records per second, with 200ms latency, and go live in just minutes - no infrastructure, no custom extractors?In this 30-minute technical session, we’ll show you how to set up flexible, real-time data ingestion pipelines that connect your apps, APIs, and internal tools directly to your warehouse.You’ll learn how to:Push JSON data from any source using a secure streaming endpointCustom schema setupTrigger downstream workflows the moment new data arrivesScale without complexity - whether it’s 100 events or 100 million
What if you could stream up to140,000 records per second, with200ms latency, and go live in just minutes - no infrastructure, no custom extractors?
In this 30-minute technical session, we’ll show you how to set up flexible, real-time data ingestion pipelines that connect your apps, APIs, and internal tools directly to your warehouse.
You’ll learn how to:
- Push JSON data from any source using a secure streaming endpoint
- Custom schema setup
- Trigger downstream workflows the moment new data arrives
- Scale without complexity - whether it’s 100 events or 100 million
Speakers

Anya Khanzhina
Data Consultant & Engineer
Anna is a data expert with 10+ years of experience in retail, e-commerce, and analytics. At Keboola, she helps businesses turn data into actionable insights, combining deep technical skills with a strong business background.
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