Data engineering is a rapidly evolving field that is constantly challenged by the increasing volume, velocity, and variety of data being generated and processed by organizations. Traditional data engineering approaches are often centralized and monolithic, which can lead to challenges in scalability, agility, and flexibility. In recent years, a new architectural paradigm called Data Mesh has emerged as a novel way to address these challenges and enable more efficient and effective data engineering.

Data Mesh is a distributed and domain-oriented data architecture that advocates for a paradigm shift in how data engineering is approached within organizations. It was first introduced by Zhamak Dehghani, a thought leader in the data engineering community, and has gained significant attention as a promising approach to modern data engineering.

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