Journal of Engineering and Applied Sciences Technology

Data engineering is a crucial aspect of modern organizations, transforming raw data into actionable insights. This article explores five essential data engineering concepts that program managers should understand to effectively lead data-driven initiatives. These concepts include data architecture and storage, data modeling and design, ETL pipelines and processes, big data technologies, and data governance and security. By gaining a solid grasp of these concepts, program managers can better align data infrastructure with business goals, communicate effectively with stakeholders, and ensure the success of data engineering projects. The article delves into each concept, providing definitions, examples, and best practices, empowering program managers to navigate the complex landscape of data engineering with confidence and drive meaningful results for their organizations