Скачать или смотреть A COMPARATIVE ANALYSIS OF AZURE SYNAPSE AND GOOGLE BIGQUERY USING AMAZON SALES DATA

This project aims to conduct a thorough comparative analysis between Google BigQuery and Microsoft Azure Synapse, two prominent cloud-based data analytics platforms. Utilizing the "AmazonSalesData" dataset from Kaggle, our primary goal is to assess and compare the functionalities, scalability, and overall performance of these platforms.

The study aims to assess the fundamental features of Google BigQuery and Azure Synapse, with a particular emphasis on their practical applications in managing e-commerce information, including Amazon sales data. We will examine the scalability characteristics of both systems and investigate how well they adjust to different data volumes and levels of complexity. In order to understand the nuances of speed, efficiency, and cost-effectiveness, the project also intends to carry out a thorough performance evaluation. This evaluation will look at query execution, data storage techniques, and integration capabilities.