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A leading fashion retail company that owns several brands and operates across diverse markets.
Retail
A comprehensive data management solution that consolidates unstructured data from diverse sources into Google Cloud's Firestore. Our approach involved incorporating security measures such as face masking API, encryption, and ensuring compliance while safeguarding sensitive information. The centralized infrastructure enabled improved analytics, scalability, and controlled data lifecycle management, ensuring improved decision-making and collaboration, with controlled access for authorized users via Azure AD integration. The solution streamlined operations, enhanced security, and ensured data-driven growth.
The client wanted to develop pipelines to manage unstructured data sourced from various channels such as Instagram, e-commerce sites, fashion magazines, store surveys, and third-party providers. The primary objective was to create a centralized storage system for this data to facilitate visualization and analytics.
We developed a data engineering solution to manage unstructured data from third-party sources. Leveraging Google Cloud Platform (GCP) services, we built pipelines for extracting, transforming, and loading data into Firestore, our centralized cloud storage database.
To protect Personally Identifiable Information (PII), we created a face masking API integrated into the data transformation process. This API ensured the security of PII data during processing. Additionally, robust data protection measures, including encryption and regular database backups, were implemented to safeguard sensitive information.
Continuous monitoring and feedback ensured the reliability, security, and compliance of the data pipelines and protection mechanisms.
The client wanted to develop pipelines to manage unstructured data sourced from various channels such as Instagram, e-commerce sites, fashion magazines, store surveys, and third-party providers. The primary objective was to create a centralized storage system for this data to facilitate visualization and analytics.
We developed a data engineering solution to manage unstructured data from third-party sources. Leveraging Google Cloud Platform (GCP) services, we built pipelines for extracting, transforming, and loading data into Firestore, our centralized cloud storage database.
To protect Personally Identifiable Information (PII), we created a face masking API integrated into the data transformation process. This API ensured the security of PII data during processing. Additionally, robust data protection measures, including encryption and regular database backups, were implemented to safeguard sensitive information.
Continuous monitoring and feedback ensured the reliability, security, and compliance of the data pipelines and protection mechanisms.