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Scaling Your Data Pipelines with Prefect and Coiled
Data engineering efforts inside an organization often start small, with a handful of relatively simple pipelines. Over time, many data teams find themselves with a large network of complex pipelines, and performance and reliability can become big issues.

In this session, Matt Rocklin, CEO of Coiled, and Chris White, CTO of Prefect, will share how, by using Prefect and Coiled together, data teams can drive higher pipeline performance at scale with less engineering overhead. They’ll also discuss trends in the Python space, and share some personal learnings and advice.

During this session you will learn:
- What Prefect and Coiled do, and how they fit into the data engineering landscape
- Challenges data engineers face when needing to scale and when the right time is to consider a scaled solution
- How to scale with Prefect and Coiled, with hands-on examples, from a single process to an auto-scaling cluster
- Matt and Chris’s views on where the modern data stack is going and trends to follow

Join us on Tuesday, October 26th at 6 PM EST by signing up here for Scaling Your Data Pipelines with Prefect and Coiled!

Oct 26, 2021 06:00 PM in Eastern Time (US and Canada)

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Chris White
CTO at Prefect
Chris White is currently the Chief Technology Officer of Prefect, overseeing the design and implementation of the next generation of data workflow automation systems. Chris began his journey into data tooling while getting his Ph.D. in Mathematics at the University of Texas at Austin, where he researched optimization guarantees for highly non-convex data-driven problems. As a long-time data and software practitioner, he has a passion for building tools that make engineers’ lives easier, and their teams more successful.
Matt Rocklin
CEO at Coiled
Matthew Rocklin is the CEO of Coiled, the scalable Dask-based cloud platform that lets data professionals accelerate computation through parallelization. Rocklin is also the initial author of Coiled’s underlying technology, Dask, and an active contributor to the Python ecosystem. Dask is the leading Python-native solution for distributed computing.