Download PDFOpen PDF in browserBuilding AI-Powered Data Pipelines: Streamlining Elasticsearch to BigQuery Integration with PythonEasyChair Preprint 151627 pages•Date: September 29, 2024AbstractIn the era of big data, organizations rely on efficient data pipelines to transfer, process, and analyze vast datasets. This article explores the creation of AI-powered data pipelines, specifically focusing on the integration between Elasticsearch and BigQuery. It highlights the key techniques to streamline the data flow between these platforms, enhancing the potential for AI-driven insights. The goal is to demonstrate how businesses can optimize data management and analytics by building robust, scalable, and intelligent data pipelines. Keyphrases: AI-powered pipelines, Big Data, BigQuery, Data Analytics, ETL, Elasticsearch, data integration, machine learning
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