Nowadays, data engineering encompasses the integration of automation, collaboration, and comprehensive data management. AI-driven pipelines streamline workflows by working alongside engineers in managing data. Data hubs democratize insights, providing non-technical users with business intelligence tools and promoting collaboration and informed decision-making. Real-time insights facilitated by data observability support agile responses, while security and ethics are essential for responsible data usage.
This white paper covers the specific data engineering trends of 2024 and beyond to help businesses effectively manage and analyze their data. From Large Language Models (LLMs) automating various tasks to data hubs fostering collaboration and democratizing data access, discover which data engineering trends nurture a data-driven culture.
White paper
