Cloud-Based Data Pipeline Automation: Transforming Efficiency in Large-Scale Data Processing

Authors

Shafeeq Ur Rahaman

Abstract

The exponential growth of data in the modern information era, most enterprises nowadays are moving toward cloud-based solutions to process massive volumes of data effectively. This article looks into methods to automate cloud-based data pipelines, the key ingredient for handling large-scale data processing tasks in a more scalable and faster manner at lower costs. Automation of the key components that include data ingestion, transformation, orchestration, and storage will contribute to enabling organizations to simplify their workflows of data and, hence, reduce operational overheads while gaining better access to real-time data. The range of automation tools, techniques, and frameworks; comparing performances in light of the impact on processing, reliability, and optimization of resources. The challenges related to data integration, security, and compliance, and best practices towards a resilient and adaptable cloud-based data pipeline. Automation of cloud data pipelines. This research underlines a transformation in the efficiency of data management, it’s about how organizations can harness faster and more accurate data insights to drive strategic decision-making.

Keywords

Cloud computing, large-scale data processing, Automation, data ingestion, decision-making. Transformation, orchestration, reliability, efficiency, cloud data

Cloud-Based Data Pipeline Automation: Transforming Efficiency in Large-Scale Data Processing. Shafeeq Ur Rahaman. 2018. IJIRCT, Volume 4, Issue 2. Pages 1-10. https://www.ijirct.org/viewPaper.php?paperId=2412025