Dospinescu, Sara (A.A. 2023/2024) Google BigQuery: cloud database management and ML integration, a comparative study. Tesi di Laurea in Databases & big data, Luiss Guido Carli, relatore Blerina Sinaimeri, pp. 45. [Bachelor's Degree Thesis]

Full text for this thesis not available from the repository.

Abstract/Index

Fundamentals of cloud computing and BigQuery Overview of google cloud platform (GCP). Using the cloud console and tools. Using the cloud console and tools. Working with BigQuery in GCP. Designing your data warehouse. Data normalization and design patterns. Advanced analytics with BigQuery and ml integration. Advanced analytics in BigQuery. BigQuery ML capabilities. Data loading into the data warehouse. Building ML models with SQL. Supported ml algorithms in BigQuery ML. Workflow of model development in BigQuery. Integration with google cloud services and performance optimization. Case studies and practical applications of BigQuery. Importance of case studies. BigQuery in healthcare. BigQuery in retail. Financial applications. Logistics optimization with BigQuery. Comparative analysis with other cloud database solutions. Overview of BigQuery. AWS redshift overview. Snowflake overview and performance comparison. Security and compliance.

References

Bibliografia: pp. 44-45.

Thesis Type:	Bachelor's Degree Thesis
Institution:	Luiss Guido Carli
Degree Program:	Bachelor's Degree Programs > Bachelor's Degree Program in Management and Computer Science, English language (L-18)
Chair:	Databases & big data
Thesis Supervisor:	Sinaimeri, Blerina
Academic Year:	2023/2024
Session:	Autumn
Deposited by:	Alessandro Perfetti
Date Deposited:	04 Apr 2025 10:21
Last Modified:	04 Apr 2025 10:21
URI:	https://tesi.luiss.it/id/eprint/41626

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