Jason Reid is Head of Product and co-founder at Tabular, the company behind Apache Iceberg that powers big data at hundreds of companies. Previously, Jason led data engineering at Netflix as Director of Data Architecture.
In this fireside chat, Jason joins Hugo Bowne-Anderson, Outerbounds’ Head of Developer Relations, to discuss how to think about and build a unified, enterprise-grade data platform for diverse workloads, including classic ETL and ML using open-source components. Given a cloud-based data platform, how can you ensure that it robustly serves data engineering needs, machine learning, AI, dashboards, exploratory data analysis, and many other modern use cases of data?
After attending, you’ll have an understanding of
- Why a toolchain of open-source tools may be a more appropriate choice for your data stack than a single proprietary platform;
- How to use the modern OSS toolset built around Apache Iceberg to access and transform data,
- How to connect your data to your machine learning pipelines and workflows;
- How to make sure you meet security and regulatory requirements;
- The importance of data governance and the tooling around it.
And much more! The fireside chat will be followed by an AMA with Jason and Hugo at slack.outerbounds.co.
00:00 Prelude
03:59 The fireside chat begins!
07:15 In which Jason introduces Iceberg, Tabular, and ..... himself
10:38: From data to business outcomes
13:11 The importance of a single source of truth for data
16:00 Best-of-breed vs all-in-one platforms for data tooling?
22:29 Pushback on OSS tools from decision makers?
27:04 What the OSS modern data stack looks like!
31:31 Why Iceberg? A high-performance format for huge analytic tables
37:58 Making sure your data and pipelines meet security and regulatory requirements
46:15 The unreasonable importance of data governance
54:45 Drilling down into the technical aspects of Iceberg
