Track: Modern Data Architectures

Day of week: Tuesday

Data architecture is a fast-moving field. Yesterday's best practices can turn out to be inadequate for today's problems.  

We are looking to bring together data architects and engineers who have a deep understanding of the problems in the field today and a vision of what the future of data looks like. From modern solutions that proved useful at scale to timeless design principles that remain relevant.

We'll explore the ideas and systems you need today to build data architectures that will still be useful in the future. 

Track Host: Gwen Shapira

Principal Data Architect @Confluent, PMC Member @Kafka, & Committer Apache Sqoop

Gwen is a principal data architect at Confluent helping customers to achieve success with their Apache Kafka implementation. She has 15 years of experience working with code and customers to build scalable data architectures, integrating microservices, relational and big data technologies. She currently specializes in building real-time reliable data processing pipelines using Apache Kafka. Gwen is an author of “Kafka - the Definitive Guide”, "Hadoop Application Architectures", and a frequent presenter at industry conferences. Gwen is also a committer on the Apache Kafka and Apache Sqoop projects. When Gwen isn't coding or building data pipelines, you can find her pedaling on her bike exploring the roads and trails of California, and beyond.

Future of Data Engineering

The current generation of data engineering has left us with data pipelines, data warehouses, and machine learning platforms that are largely batch-based and centrally managed. They're often largely manually operated, and integrating new systems can be cumbersome. Over the next few years, a number of trends are going to require us to rethink how and what we build. Data is now realtime, companies are running many database technologies, teams are demanding more control of their data, and regulatory policy has begun dictating how and when we store data. This talk will present a vision of what it will take for data engineers deliver a next generation data ecosystem.

Chris Riccomini, Distinguished Engineer @WePay

Tracks

Monday, 11 November

  • Languages of Infrastructure

    This track explores languages being used to code the infrastructure. Expect practices on toolkits and languages like Cloudformation, Terraform, Python, Go, Rust, Erlang.

  • Building & Scaling High-Performing Teams

    To have a high-performing team, everybody on it has to feel and act like an owner. Organizational health and psychological safety are foundational underpinnings to support ownership.

  • Bare Knuckle Performance

    Killing latency and getting the most out of your hardware

  • Ethics, Regulation, Risk, and Compliance

    With so much uncertainty, how do you bulkhead your organization and technology choices? Learn strategies for dealing with uncertainty.

  • Software Supply Chain

    Life of a software artifact from commit to deployment. Security, observability and provenance of the software supply chain.

  • Architectures You've Always Wondered About

    Next-gen architectures from the most admired companies in software, such as Netflix, Google, Facebook, Twitter, & more

Tuesday, 12 November

Wednesday, 13 November