Conference agenda

Browse the conference agenda to discover the most interesting sessions for you.

Keynote: Making data available and actionable to everyone, everywhere.

Airbyte's critical role in evolving data infrastructure, focusing on enhanced data movement, community-driven development, and future strategies to make every company proficient in handling and leveraging data.

Data Engineering in the AI Era

With the rapid democratization of LLMs, organizations are discovering novel applications of gen AI that data engineers need to learn to support.

Pioneering the Future of Reliable Data & AI

What it takes to build more reliable data and AI systems - and give LLMs the diligence they deserve.

From Unstructured to Understood: ELTP as the Foundation for Language Model Applications

The ELTP framework highlights how integrating updated, specific company data with language models like ChatGPT can overcome their limitations.

Semantic Layers & LLMs

He discusses the integration of semantic layers with Large Language Models, envisioning AI's enhanced understanding and interaction with organizational data.

Data Engineering

Joe’s pet peeve - the knowledge and skills gap

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

Data Engineering

Data Visibility, Stability, and Control

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

Data Engineering

Convert batch code into streaming with Python

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

Data Engineering

Less Is More: Simplifying Your Data Architecture

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

Data Engineering

Standardization of Data Pipelines

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

Data Engineering

One Size Can't Fit All: The Case for a Real-Time Data Warehouse

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

Data Engineering

The Streaming Plane

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

Data Engineering

You've Got (More) Mail: Making the Airbyte Weekly Digest a meaningful read in a flood of emails

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

Data Engineering

Data Silos, Be Gone!

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

Data Engineering

Data as Code: Project Nessie brings a Git-like experience for Apache Iceberg Tables

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

Data Engineering

PRQL: A Modern Language for Data Transformation

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

Data Engineering

Fixing the Data Engineering Lifecycle

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

Data Engineering

Keynote: Founders talk startups, data trends, what’s next in 2024

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.

Data Engineering

Cart.com and Airbyte - A Tale of Two Hyper-growth Unicorns

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

Data Engineering

How to Build a Database

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

Data Engineering

Design Principles for ELT Database Destinations

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.

Data Engineering

Attention Is All You Need: Fine-Tune Your Way to the CEO

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.

Data Engineering

Streaming your database - Easier said then done?

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.

Data Engineering

Customer-Facing Analytics: Why They're More Challenging Than They Seem

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

Data Engineering

Database Sources: Now Ready for Terabyte Data Movement

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

LLMs for data engineers : Cutting Through the Hype

Recognize the vital role data engineering plays in AI.

Use AI to Unlock Your Data with Retrieval Augmented Generation and LlamaIndex

LLMs are trained on huge volumes of data, they're not trained on *your* data and they can't answer questions about your company.

Evolution of Data Lake and impact of GenAI in data industry

Starburst's data access layer and strategic approach to data management significantly enhance the performance and applicability of Generative AI and LLMs in various organizational contexts.

Applying LLMs to Data Modeling

Going from synthesis in LLM-based data modeling to a deterministic system with reliable verification and repair.

Text to SQL is solved. What's next?

GPT-4 is powerful enough to write correct SQL in almost any dialect, but what is missing?

How organizations can harness their data in conjunction with GenAI

Brian will explore the transformation of diverse data forms into AI-ready formats, enhancing generative AI's efficacy in organizational contexts, with a focus on clean JSON data and overcoming LLM limitations.

Data Engineering

Breaking Orchestration Silos

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

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