Leveraging Google Cloud's BigQuery for Seamless Data Migration and AI Readiness

Author(s)	Syed Ziaurrahman Ashraf
Country	USA
Abstract	The rapid growth of big data requires efficient data migration and AI readiness strategies. Google Cloud's BigQuery offers scalable, serverless data warehousing solutions that support seamless migration of data from on-premises and cloud sources. This paper explores the technical strategies for leveraging BigQuery to accelerate data migration while ensuring data readiness for AI and ML workloads. We will examine the key features of BigQuery, data migration techniques, optimization practices for AI workloads, and the integration of BigQuery with AI tools. Additionally, we provide an in-depth analysis of real-world use cases and visual representations of the migration pipeline and AI workflow integration.
Keywords	BigQuery, Google Cloud, Data Migration, AI Readiness, Cloud Storage, Machine Learning, Data Warehousing, AI Integration, ETL, Data Pipeline
Field	Engineering
Published In	Volume 3, Issue 5, September-October 2021
Published On	2021-09-24
Cite This	Leveraging Google Cloud's BigQuery for Seamless Data Migration and AI Readiness - Syed Ziaurrahman Ashraf - IJFMR Volume 3, Issue 5, September-October 2021.

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International Journal For Multidisciplinary Research