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The research paper's authors had multiple primary objectives and made several contributions, based on the available information: Review of Recent Developments in Data Engineering: The

The research paper's authors had multiple primary objectives and made several contributions, based on the available information:
Review of Recent Developments in Data Engineering:
The authors' goal was to examine data engineering developments, with a special emphasis on elements pertaining to network management and orchestration. This entails evaluating the development of platforms and standardization initiatives in relation to data engineering-driven network design.
Thorough Analysis:
The paper makes a contribution by offering a thorough analysis of platform development and standardization efforts in the data engineering industry. This probably entails combining data from different sources to provide a comprehensive picture of the industry's current situation.
Emphasize Gaps in Telecommunication Domain:
The authors' goal is to pinpoint and draw attention to the current shortcomings in the data engineering field's application of recent advancements. This entails highlighting domains in which data engineering innovations have not been sufficiently integrated or investigated within telecommunication networks.
Talk About Research Challenges:
The goal of this paper is to talk about the research challenges that come with incorporating data engineering ideas into communication networks. This could entail tackling conceptual, operational, or technical obstacles that must be removed in order for these two domains to converge more successfully.
In terms of which contribution might benefit data engineering practitioners the most, it would likely be the comprehensive analysis of standardization efforts and platform development in the data engineering field. It is imperative that practitioners stay up to date with the latest standards and platform developments in order to stay informed about the tools and frameworks at their disposal. Their overall project strategies, tool choices, and decision-making processes can all be influenced by this knowledge. In addition, practitioners looking to close the gap between data engineering and telecommunication networks can find useful insights in the highlighted gaps and research challenges as well as the suggested recommendations.

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