An Overview and Critical Analysis of Recent Advances in Challenges Faced in Building Data Engineering Pipelines for Streaming Media
Sandeep Rangineni · The Review of Contemporary Scientific and Academic Studies · 2023
This literature review presents a comprehensive overview and critical analysis of recent advances concerning the challenges encountered in constructing data engineering pipelines for streaming media.As the demand for streaming media escalates, so does the necessity for highly efficient and robust data pipelines to manage, process, and distribute colossal volumes of data.However, building these pipelines poses several significant challenges, which this review systematically addresses.The key issues examined include the maintenance of data quality, ensuring consistency, completeness, and format adherence; the problem of scalability with growing data volumes; real-time data processing and latency reduction for improved user experience; and the complexities of guaranteeing data security and privacy.Drawing from an extensive range of recent studies and technological advancements, this review provides a critical analysis of proposed solutions to these challenges, including automated data cleaning techniques, scalable distributed processing architectures, real-time data processing methodologies, and advanced data security mechanisms.This review also underlines potential areas for future research and development, offering valuable insights for both researchers and practitioners.It encapsulates the state of the art, charts out the current challenges, and proposes directions for future work in building data engineering pipelines for streaming media.By doing so, it provides a critical reference point for advancing the field and improving the quality of streaming media services.