In 2026, the global volume of data is expected to exceed 221 zettabytes. While this growth creates significant opportunities, raw data by itself holds limited value. Without proper processing, organization, and governance, businesses risk data overload, limiting insights and hindering decision-making. To manage this growing complexity and shift from reactive to proactive data management, organizations must upgrade their data engineering strategies.
This white paper explores seven hottest data engineering trends for 2026, including AI-driven automation, data mesh architectures, the rising role of synthetic data, and other advancements. Learn how these advancements can help you create a resilient, scalable data infrastructure.
Download the white paper to keep pace with the most important changes in data engineering!
