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Informative Article | Data & Knowledge Engineering | India | Volume 11 Issue 2, February 2022
Streamlining Data Wrangling Processes through Automation and Tooling
Abstract: An essential phase in the workflow for data analysis is data wrangling, which is the process of organizing and cleaning unstructured data into a more readable manner. Even with its significance, data wrangling is a laborious and error - prone task when performed manually. The paper examines the developments in automation and technology that improve efficiency, lower errors, and free up data analysts to work on higher - value jobs by streamlining data wrangling processes. We talk about different automated technologies and solutions that help with data integration and transformation activities. The paper provides a thorough assessment of the state of contemporary data preparation and highlights current best practices in the automation of data wrangling.
Keywords: Data Wrangling, Automation, Data Preparation, Data Analytics, Data Integration
Edition: Volume 11 Issue 2, February 2022,
Pages: 1323 - 1325