Problem:

The client is a technology giant with various business units across geographies, facing challenges in managing their data and being unable to derive business analytics. A few pain areas are

• Lack of standardization
• Data Redundancy and Quality
• Lack of integration across data sources
• Metadata management issues

Solution:

• Architected and designed a data lake
• Implemented data cleansing processes
• Developed separate data marts for each modules
• Created data pipelines and data catalogs
• Metadata management issues
• Metadata management issues

Tech Stack:

• Microsoft SQL Server
• Azure Data Lake
• Azure Data Factory

Benefits:

• Centralized repository for all reporting and dashboard needs
• Improved access to relevant data for advanced analytics
•  Improved security and regulatory compliance
• Improved data accuracy