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This article critically examines data ingestion in the public cloud environment. Traditional data integration approaches often encounter challenges related to data availability from diverse sources within a project schedule, leading to delays and project failures. By leveraging the capabilities of public cloud providers and self-service Data Integration solutions, organizations can expedite the development of their Data Lakes and rapidly derive Data-Driven Insights. This empowers them to enhance operational efficiency, make informed decisions, and gain a competitive edge in their respective industries. The article explores the benefits of utilizing the public cloud for data ingestion and transformation and highlights the challenges associated with traditional data integration approaches. Our analysis provides valuable insights for practitioners seeking to optimize their data integration processes and maximize the value derived from their data.
Ankush Ramprakash Gautam (Thu,) studied this question.