Data Lake Ingestion Tools: A Comprehensive Study

Abstract

In recent years, Big Data applications have become increasingly vital for organizations and industries aiming to achieve a competitive advantage and discover new trends and insights. A crucial initial step in Data Lake is data ingestion. This paper offers a thorough review of some of the most widely used methods for Data Lake ingestion and ensures that data is accurately classified, securely managed, and easily accessible for analysis, thus enabling the utilization of diverse datasets to generate insights and support decision-making processes.