Data Lakes and the Evolution of Big Data

As data volumes and variety continue to surge, traditional data warehouses often struggle to accommodate the demands of modern analytics and machine learning workloads. This talk delves into the architectural evolution from conventional data warehouses to flexible, scalable data lakes, and further into the emerging paradigm of data lakehouses.

We’ll explore the technical underpinnings of data lakes, including schema-on-read approaches, support for diverse data types, and integration with cloud-based object storage systems. The session will also address common challenges such as data governance, security, and performance optimization.

Attendees will gain insights into:

• The limitations of traditional data warehouses in handling big data.
• The principles and architecture of data lakes.
• The emergence of data lakehouses and their role in unifying data management.
• Best practices for implementing and managing data lakes effectively.

Whether you’re a seasoned technologist, work in IT or have an interest in data, this session will provide a comprehensive overview of the evolution of data storage and processing architectures in the era of Big Data.

About the speaker
Owen Cutajar is a seasoned technologist with a passion for demystifying complex technology trends and making them accessible to a broad audience. With extensive experience in enterprise architecture, emerging technologies, and digital innovation, Owen brings real-world insights into the practical challenges and opportunities presented by big data and data lakes.

This event is free to attend, but please register for a ticket so we can sure we have enough refreshments for every attendee. Our thanks go to Flutter International for supporting this event.