Transforming E-commerce Data Infrastructure

To address the project challenges, we carefully designed a robust system architecture that leveraged several cutting-edge technologies. Each technology was selected based on its relevance to the specific project requirements:

Scrapy (Web Scraping Framework on AKS) – To efficiently extract data from specific websites while ensuring high availability and scalability, addressing the challenge of complex data extraction.

Azure Data Factory – To design and implement a comprehensive data transformation pipeline for efficient and automated data processing, tackling the challenge of data transformation and standardization.

Event Grid, Logic App, and Function App – To validate and enrich data in real-time, ensuring data integrity and accuracy, meeting the requirement of real-time data verification.

SmartyStreets and TowerData Integration – To enhance email and address verification capabilities through their respective APIs, addressing the challenge of automated verification.

Active Directory (AD) – to implement robust identity and access management, ensuring secure data handling and authentication, addressing the challenge of data privacy and compliance.

Azure Defender, KeyVault, and Network Security Groups (NSGs) – to enforce robust security measures, protecting data from potential threats and unauthorized access, tackling the challenge of data privacy and security.

Terraform – to automate the provisioning and configuration of the infrastructure, ensuring consistency and scalability and meeting the requirement of efficient infrastructure setup.

Azure Application Insights – to enable real-time monitoring and logging, providing valuable insights into the system’s performance and detecting potential issues, addressing the challenge of continuous monitoring and maintenance.

Azure DevOps (ADO) Pipeline – to enable seamless continuous integration and delivery, ensuring efficient code deployment and version control, tackling the challenge of continuous integration and code deployment.

Azure SQL Server and Blob Storage – to provide reliable, scalable, and secure storage options for the extracted and transformed data, meeting the requirement of efficient data storage and handling.