Harnessing Cloud Automation: Building Scalable Data Pipelines for Enhanced Business Intelligence
Author(s): Shafeeq Ur Rahaman
Publication #: 2412028
Date of Publication: 05.02.2019
Country: India
Pages: 1-10
Published In: Volume 5 Issue 1 February-2019
DOI: https://doi.org/10.5281/zenodo.14352506
Abstract
The enterprises are stuck between a rock and a hard place in managing and analyzing copious volumes of information to convert into actionable insight in the data driven world. Cloud automation has emerged as one of the most key solutions to streamline the process of building scalable data pipelines so that data can seamlessly flow into the analytical platforms coming from various sources. The article focuses on the designing and creating an automated cloud data pipeline that empowers business intelligence by allowing better accessibility, scalability, and efficiency of processing data. Businesses can gain from facilitating cloud technologies and tools in automating their infrastructures for agility and scalability while optimizing ETLs, thereby enabling real-time analytics and decision-making. The study enumerates benefits accruing from the utilization of automated cloud pipelines, including reduced operational costs, faster insights, and better collaboration across departments. Besides this, it provides concrete examples and case studies of leading enterprises that adopt automated cloud pipelines to drive innovation and competitive advantage. At the end, the article discusses future trends and challenges in building cloud-native data architectures for enhanced business intelligence.
Keywords: Cloud Automation, Data Pipelines, Business Intelligence, Scalable Data Systems, ETL, Real-time Analytics, Cloud Technologies, Data Accessibility, Enterprise Analytics, Cloud-Native Architectures
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