Michel and Benn offers insights into the journey of entrepreneurship, the current state and future of data strategy in businesses, and the crucial balance between innovative data solutions and practical business applications in a startup environment.

Chase discusses the longstanding partnership between Cart.com and Airbyte, including being Airbyte’s Customer #1,

Data warehouses are at the center of our data universes, but what’s at the center of a data warehouse?

Attendees will learn about Airbyte's innovative approach to ensuring easy-to-query tables, decoupling sync errors from data errors, and enhancing overall data observability.

Boris explores the transformative role of data teams in business growth, emphasizing strategic involvement in decision-making and concise data insights to executives for impactful, growth-driven outcomes.

There’s no shortage of tools in the data space, but why do we keep making the same mistakes?

I share my experience and tips from building a system to help developers and architects prepare for the journey, surprises, and challenges along the way.

Shares insights on enhancing e-commerce analytics through integrated yet agile data systems.

What will it take to expose data in my customer-facing products?

You will see with examples how simple it is to make your batch code run in streaming.

Our DB source connectors now handle massive datasets with unmatched speed and reliability

This talk will emphasize the importance of aligning data infrastructure with actual business needs.

There are better abstractions than black-box tasks for modeling data pipelines. In this talk, we'll explore a new paradigm: Software-Defined Assets.

We will introduce the concept of a real-time data warehouse by describing how it addresses challenges as seen in the market today.

Empowering organizations to access and analyze a broader spectrum of data types, enabling better-informed decisions in real-time and over time.

In an endless sea of weekly recap emails, how can you make sure yours is worth reading?

How centralizing the data warehouse as the operational hub for companies can effectively address the challenge of data silos.

Data-as-code paradigm, what is the open-source Project Nessie and the new patterns in data engineering it enables.

Highlights PRQL’s expressivity with complex analytical queries, demonstrated through interactive examples in Python.

How emerging tools and data engineering testing capabilities can refine the transition from local development to production workflows.

In this talk, you’ll enter the labyrinth of orchestration silos and the speaker will show you a way out.