Data Leaders Panel

Top Trends in Data Engineering for 2025

Saket Saurabh
CEO and Co-Founder Nexla
Sean Knapp
Founder and CEO Ascend.io
Marc Lamberti
Head of Customer Education Astronomer
Stephen Faig
Research Director Unisphere Research and DBTA

Join industry experts as they explore the key trends shaping data engineering in 2025—from AI-driven data processing and real-time analytics to evolving data architectures, governance, and the rise of DataOps and MLOps. Don’t miss this deep dive into the technologies and strategies defining the future of data.

From advanced analytics to AI systems, data engineering is crucial for ensuring that data is clean, accessible, and processed efficiently. Without the infrastructure, tools, and processes that data engineers are responsible for building and managing, transforming raw data into valuable insights would not be possible. As we move into 2025, several trends are emerging that will shape the future of data engineering:

  • The proliferation of AI-driven tools that enhance how data is collected, processed, and analyzed
  • The ever-growing demand for real-time data processing
  • The evolution of data architecture patterns and unified data and analytics platforms
  • The increased focus on data governance and security
  • The maturation of DataOps with greater automation and collaboration capabilities
  • The rise of MLOps as an integral component of data engineering

Join industry experts as they explore the key trends shaping data engineering in 2025—from AI-driven data processing and real-time analytics to evolving data architectures, governance, and the rise of DataOps and MLOps. Don’t miss this deep dive into the technologies and strategies defining the future of data.