Enterprise Data Warehouse Modernization for Agile Data Management

digital-marketing-data-analysis

Data Engineering

Client Details:

A prominent player in the fast-growing retail and quick commerce sector, operating across multiple regions with a focus on rapid delivery of grocery and household essentials. The company manages high-volume transactions and dynamic inventory systems, requiring real-time insights and responsive data operations to meet customer expectations and drive operational efficiency. 

 

Challenge:

The client’s legacy enterprise data warehouse (EDW) was becoming a critical bottleneck due to slow data refresh cycles, costly on-premises SQL server infrastructure, and heavy reliance on manual administrative tasks. The static architecture couldn’t keep pace with the fluctuating demands of a fast-moving retail environment, limiting the business’s ability to generate timely insights and adapt to evolving market conditions. 

 

Solution:

To address these limitations, the organization undertook a comprehensive data modernization initiative, transitioning their EDW to a cloud-native Azure Data Management (ADM) platform. The solution involved rearchitecting the data environment using Azure Synapse Analytics, moving away from traditional SQL-based infrastructure to a more scalable and cost-effective model. 

Over 523 data files were transformed, and 7 repositories were restructured using Azure DevOps to support streamlined, serverless data operations. Azure Data Factory played a key role in rebuilding ingestion and transformation workflows, while integration with Azure Blob Storage enabled a seamless blend of batch and streaming data in a unified ecosystem. 

 

Benefits:

Reduced Infrastructure Costs: Decommissioned legacy SQL server setups, lowering overall operating expenses.
Improved Scalability & Speed: Enabled elastic compute via Azure Synapse for faster data processing and querying.
Operational Efficiency: Introduced CI/CD pipelines through Azure DevOps, facilitating consistent and automated deployments.
Future-Proof Architecture: Established a flexible data foundation to support advanced analytics, real-time reporting, and evolving business needs. 

 

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