SESSION + Live Q&A

Lessons From a ~Yearly Re-Write of a Data Pipeline

Every year, we’ve set ourselves a goal of dramatically improving the performance and efficiency of our core data pipelines. We’ve done this by re-writing, effectively from scratch, the streaming pipelines that are responsible for processing over 120,000 events per second to deliver realtime personalisation to millions of web and mobile clients.

From our initial custom ETL system to the latest generation powered by Apache Beam, we’ve learnt to both respect and ignore the common wisdom of not re-writing software that works.

In this talk, we walk through multiple generations of our multi-tenant and high performance streaming data pipelines. We’ll compare the different approaches and frameworks, and highlight the lessons we’ve learnt from building perform data pipelines dealing with messy real-world data collection and aggregation.


Speaker

Jibran Saithi

Lead Architect @Qubit

Jibran is Lead Architect at Qubit. He has an unhealthy interest in plumbing data pipelines.

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Find Jibran Saithi at:

Location

Whittle, 3rd flr.

Track

Stream Processing in the Modern Age

Topics

ScaleStream ProcessingApache BeamEvent Stream ProcessingPerformanceLondon

Video

Video is not available

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