Government Data Hub

Integrating sources from unstructured data introduces an additional layer of complexity to data pipeline infrastructure. Customers often express concerns about managing, processing, and gleaning insights from diverse and heavy data sources. Common issues include data quality, security, compliance, and the need for specialized expertise.

We started the project by setting up a Data Lake capable of receiving ingested data from various internal sources such as Cloud and on-prem Databases and PDF files. We then scaled this setup to incorporate external sources with custom scrapers that could access a lot of information throughout the internet. To handle the increasing volume and variety of data, we added scraping and API processes for analysis and decision-making. We implemented robust data governance policies and established a data catalog to ensure data quality, security, and compliance. The use of Airflow with Google Cloud Platform facilitated the integration and the scalability of the infrastructure.

Unified Data Platform: The implementation of Airflow with GCP in the Government Data Hub Project allowed the integration of internal and external data sources, providing our customer with a unified platform for data sharing and collaboration. More than 100 use cases enabled via the data lake infrastructure. The information available on the data lake was used for customer apps, dashboards and machine learning models.