ETL is Dead!

Explore the shift from traditional ETL to real-time data processing. Understand the limitations of ETL and discover the agility and speed of streaming data architectures. This talk includes hands-on demonstrations, showcasing a dynamic, efficient approach to data engineering where ETL is outdated.

Are you ready to join me for ETL’s (Extract, Transform, Load) funeral? Probably not quite yet, but I can show you how to kill your ETL processes and move to an architecture that shows you your data in real time. In a world where real-time data analysis is not just an advantage, but a necessity, the traditional ETL process is increasingly coming under scrutiny. In this talk, you will explore the limitations of ETL in the modern data landscape and learn about real-time data processing as the new paradigm.

We will dissect the bottlenecks and latency issues inherent to batch processing in ETL and contrast it with the agility, speed, and responsiveness of streaming data architectures. Through a deep dive into the components of real-time data processing, including stream processing, in-memory databases, and event-driven architectures, we’ll demonstrate the potential to unlock insights faster and more efficiently.

The session will also include a hands-on demonstration, showing the transformation of real-time data streams into actionable insights, thus highlighting the shift from the traditional ETL model to a more dynamic, real-time data engineering approach.

Join us for this enlightening discourse as we break away from tradition and step into the future of data engineering, where ETL no longer reigns supreme.

Technical Requirements

• Internet: A stable, high-speed connection for the live coding demo.
• Screen Sharing: Capability for sharing code and visuals with attendees.

Speaker Qualifications

• Experience: Over 10 years in the data and database sphere, with a focus on real-time processing.
• Previous Talks: Delivered lectures at major conferences on similar subjects. You can view a complete list of my past and upcoming talks with video on my website https://www.joekarlsson.com/speaking.
• Projects: Successfully built and deployed real-time analytics engines for top industry clients.

Session Highlights

• ETL Limitations: Discuss bottlenecks and latency in traditional ETL.
• Streaming Architectures: Detail the speed and agility of real-time solutions.
• Hands-On Demo: Transformation of real-time data streams into insights.
• Future of Data Engineering: A forward-looking view on data processing without ETL.

Unique Selling Points

• Timely Topic: Real-time data analysis is a necessity in the modern world.
• Practical Approach: Emphasizing actionable insights and hands-on learning.
• Innovative Perspective: A bold stance on moving away from traditional ETL.

Concluding Remarks

This talk seeks to empower attendees to break away from traditional ETL processes and embrace real-time data processing. The combination of theoretical exploration and practical demonstration provides a comprehensive and engaging experience, making it a valuable addition to any data-centric conference or event.