API-based ETL Integration: Enhancing Data Connectivity and Real-Time Data Processing
Author(s): Nishanth Reddy Mandala
Publication #: 2411030
Date of Publication: 02.11.2016
Country: United States
Pages: 1-12
Published In: Volume 2 Issue 6 November-2016
Abstract
API-based ETL (Extract, Transform, Load) integration has emerged as a crucial methodology in modern data architectures, enabling efficient data connectivity across diverse platforms. Unlike traditional ETL systems that rely on direct data access, API-based ETL leverages Application Programming Interfaces (APIs) to extract data from distributed systems, transform it, and load it into a central repository. This approach enhances the flexibility, scalability, and real-time capabilities of ETL workflows, making it particularly useful for cloud-based environments and distributed applications. This paper examines the principles of API-based ETL, explores its advantages over traditional ETL, and discusses common challenges, implementation strategies, and use cases.
Keywords: API, ETL, Data Integration, Real-Time Data Processing, Cloud Computing, Data Connectivity
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