2025 Data Engineering Trends

Ready for 2025? Future-Proof Your Data Engineering Strategy

While 2024 was a year focused on scaling AI and pushing the boundaries of automation, 2025 demands a more nuanced, smarter approach—one that prioritizes not just innovation but data reliability, quality, and cost optimization.

In our latest report, we dive deep into 11 emerging trends that are poised to shape the future of data in 2025. This guide provides insights into the technologies, methodologies, and practices that will help data teams thrive in a landscape of continuous change. Key topics include:

• Productizing Data Assets: Learn how adopting software engineering best practices can enable you to transform raw data into valuable, reusable assets that can drive business outcomes.
• The Power of Self-Service Platforms and Data Reliability Engineering: Explore how the rise of self-service platforms and the growing importance of data reliability engineering are transforming how analytics, engineering, and business teams collaborate and deliver results.
• Technological Advancements: Understand how cutting-edge technologies such as Apache Iceberg, Delta Lake, and advanced data observability tools are reshaping the modern data and AI stack, providing more control, visibility, and efficiency in managing complex data environments.

We hope this report will help keep you up to speed with the organizational, industry, and technology trends most impacting our industry’s evolving landscape. Get your free copy today.