A warehouse-native stack is an analytics stack that has a single data repository (otherwise known as the data warehouse) that all customer data is fed into and acts as a source of truth for all data gathered and managed by an organization.
In this tech talk, Phantom will talk about their experience transitioning from a siloed analytics approach to a warehouse-native approach in building an efficient data stack based on large, diverse, high-quality datasets that unlock use cases otherwise not possible with data analytics tools on their own.
We’ll also explore how Eppo allows AB experimentation natively on the data warehouse.
What we will cover:
- Phantom’s Journey to Warehouse-first with RudderStack
- Benefits of the warehouse native data stack
- Unlocking warehouse-native AB experimentation with Eppo
Speakers
Sara Mashfej
Developer Relations at RudderStack
Sara leads RudderStack's developer relations and provides content, education, and workshops to help grow the RudderStack user community.
Chetan Sharma
Founder & CEO of Eppo
As one of the first data scientists at Airbnb and Webflow, Che has been focused on the maturity curve of growth stage companies and how to establish data as a central stakeholder of decision making. Che previously led the team that developed Airbnb's knowledge repo, and has led data teams focused on production machine learning and instrumentation integrity.
Ricardo Pinho
Senior Data Engineer at Phantom
Ricardo specializes in warehouse-first approaches, scalable data warehouses, and data pipelines for data-driven decision making. At Phantom, he builds analytics, experimentation, and real-time data streaming platforms from scratch.