Client Success Story
Transforming The Data Architecture Using Azure Data Services
Connecticut, USA
Financial Services
11-50 employees
The Customer
They are a private equity firm that invests in growth-stage software, healthcare, and technology-enabled services companies. They focus on innovative business models and technologies, providing capital, strategic guidance, and operational support. The firm collaborates closely with management teams to drive value creation through growth initiatives and strategic acquisitions. They are known for their hands-on partnership approach.
The Problem
The Problem
- 1
Establish a canonical data model to support our application.
- 2
Create a 'golden universe' of companies identified by primary ID based on domain.com
- 3
Map out the origin of data fields from various sources for each domain.com
- 4
Enable data sourcing via real-time APIs, Snowflake, and file inputs to populate the golden universe.
- 5
Implement an abstraction layer separating the application from underlying data sources.
- 6
Ensure rapid, continuous updates to the golden universe, avoiding batch processes.
- 7
Incorporate a 'refresh from sources' feature for immediate data updates and employ background updates based on data staleness or changes from providers.
The Problem
What Solution Did We Propose
- 1
Developed ETL pipelines using Azure data factory
- 2
Carried our data transformation using Azure Databricks
- 3
Data Lake and azure SQL database for data storage
- 4
Azure data vault to store credentials and keys
- 5
Deployment pipelines were setup using Azure Devops
Technologies Involved In This Case
Azure SQL
Azure Storage Account
Azure Data Factory
Azure Key Vault
Azure DevOps
Azure Databricks
Take A Seamless Cloud Ride With Us!
Get the power to boost your business, innovation, and growth.
Get Customized Azure Cloud Services
Schedule a 1:1 Call Today
Get in touch with our team to solve your Azure queries.
