We’re excited to unveil the
agenda for move(data) 2023, Airbyte's flagship conference dedicated to the latest in data engineering and AI. Set for December 6th and 7th, this online event is a convergence point for data professionals – engineers, analysts, and enthusiasts who are deeply engaged in the dynamics of data innovation.
In a series of 10-minute lightning talks, experts will distill complex ideas into focused insights, catering to the practical mindset of our data-driven audience. These sessions are crafted to deliver substantial content, cutting straight to the heart of what’s most relevant and transformative in our field.
The agenda spans a range of topics that are central to today's data landscape. From the implications of Large Language Models (LLMs) in our daily work to advanced strategies for optimizing data pipelines, we aim to cover areas that are not only current but also critical for the forward-thinking data professional.
Join us for an event where learning, sharing, and innovation converge, and be part of the discussions that are shaping the future of data engineering and AI.
What to Expect at move(data) 2023
As we gear up for move(data) 2023, here's a snapshot of what to expect from this unique online event.
Format and Structure
At move(data) 2023, every minute counts. The conference spans two days, featuring a series of lightning talks — each lasting just 10 minutes. This format is designed to maximize learning and engagement, ensuring that each session is both succinct and packed with valuable insights. It's an approach that respects your time and attention, focusing on quality over quantity.
Diverse Range of Topics
This year's conference covers a spectrum of themes at the intersection of data engineering and AI. You’ll find sessions addressing the practicalities of data management, the challenges of integrating AI into existing data structures, and the future trends that are shaping our field.
From Theory to Practice
What sets move(data) 2023 apart is its emphasis on applicability. The talks are not just about theoretical concepts; they are rooted in real-world applications. Speakers will share their experiences, successes, and even the hurdles they've encountered, providing attendees with insights that are immediately applicable in their day-to-day work.
Networking and Community Building
While the core of move(data) is its content, we also recognize the value of connection and community. The conference provides ample opportunities for attendees to network with peers, engage in discussions, and build relationships within the data community. It’s a chance to exchange ideas, ask questions, and gain new perspectives from fellow data enthusiasts across the globe.
Accessibility and Inclusivity
Being an online event, move(data) 2023 is accessible to a global audience. This inclusivity extends beyond geographical boundaries, welcoming a diverse group of participants from various sectors and levels of expertise. Whether you’re a seasoned data engineer, an AI researcher, or someone just stepping into the world of data, the conference is designed to offer something valuable for everyone.
Special Focus: AI and Data Engineering at move(data) 2023
At move(data) 2023, a special focus is placed on the convergence of AI and data engineering – a synergy that's reshaping the landscape of technology and business. This section of the conference is dedicated to exploring how these two realms are increasingly interlinked and the transformative impact this integration has on the industry.
AI's Growing Role in Data Strategies
The conference will spotlight how AI, particularly advancements in Large Language Models (LLMs), is altering the way data is processed, analyzed, and utilized. Sessions like “
Data Engineering in the AI Era” and “ Pioneering the Future of Reliable Data & AI” will address how data engineering practices need to evolve to support AI-driven initiatives effectively. Enhancing Data Engineering with AI
Talks such as “
From Unstructured to Understood: ELTP as the Foundation for Language Model Applications” and “ Semantic Layers & LLMs” will delve into how AI can enhance traditional data engineering tasks. These sessions aim to demonstrate how integrating AI into data workflows can transform unstructured data into valuable, actionable insights, and how semantic understanding elevates the potential of LLMs in organizational contexts. Practical Data Integration
Move(data) 2023 goes beyond theory, offering a pragmatic look at data engineering. For instance, “
Convert Batch Code into Streaming with Python” provides a hands-on approach to adapting existing data processes to align with real-time demands. Similarly, “ Data as Code: Project Nessie and Apache Iceberg Tables” will explore practical tools that bring innovative concepts into the everyday workflow of data professionals. Exploring Beyond AI: Diverse Perspectives in Data Engineering
While AI forms a significant part of move(data) 2023, the conference also delves into a variety of other crucial topics in data engineering. This diversity reflects the multifaceted nature of the field, offering insights and knowledge across a broad spectrum of data-related disciplines. Here are some of the topics you can expect:
Less Is More: Simplifying Your Data Architecture: This session promises to be a reality check for many organizations, emphasizing the importance of aligning data infrastructure with actual business needs. It’s a call to focus on simplicity and efficiency, rather than complexity for its own sake. Standardization of Data Pipelines: Here, the focus shifts to the structure and organization of data pipelines. The talk explores new paradigms in data pipeline modeling, moving beyond traditional approaches to more standardized and efficient methods. One Size Can't Fit All: The Case for a Real-Time Data Warehouse: Addressing the evolving needs of data storage and access, this session introduces the concept of a real-time data warehouse. It’s an exploration of how this model can meet the challenges of today’s dynamic data environments. Data Visibility, Stability, and Control: With a focus on e-commerce analytics, this talk highlights how integrated, yet agile data systems can enhance business insights and decision-making processes. PRQL: A Modern Language for Data Transformation: This session introduces PRQL, a modern query language, and demonstrates its power and efficiency in handling complex analytical queries. It’s an insightful look at how innovative tools can transform data work. Breaking Orchestration Silos: Tackling a common challenge in data systems, this talk navigates through the complexities of orchestration silos, offering strategies for more integrated and efficient data workflows. Conclusion: A World of Data Awaits at move(data) 2023
As we wrap up this preview of move(data) 2023, one thing is clear: whether you're deep in the trenches of data engineering, navigating the emerging AI landscape, or looking to expand your knowledge in the diverse world of data, this conference is a wellspring of knowledge, innovation, and connection.
Click here to register and mark your calendars for an event that’s set to redefine the data landscape. We can't wait to welcome you to move(data) 2023 – where the future of data unfolds!