Data Warehouse Modernization
A legacy warehouse that had hit its ceiling was replaced with Azure Synapse Analytics — cutting processing time in half and enabling real-time, business-wide insight.
At a glanceRevolutionising the Data Warehouse with Azure Synapse Analytics
Traditional data warehousing was slowing the business down — query times were creeping up, scale was painful, and analysts were waiting on yesterday's numbers.
- 50% reduction in data processing time across critical pipelines.
- Effortless scalability as data volumes continue to grow.
- Augmented analytics that make data-driven decisions the default.
The ChallengeWhat stood in the way
A large enterprise approached DIS with a problem hiding in plain sight: their data warehouse was still running, but it was no longer the asset it used to be. Queries that once took minutes were taking hours. New data sources were piling up faster than the team could onboard them. Executives asking for a quick view of the business were being told to wait until the overnight job ran. The limitations of traditional data warehousing methods were no longer just a technical inconvenience — they were holding the entire organization back from making informed, timely decisions. DIS recognized that the fix wasn't more hardware on the existing platform; it was a fundamentally different architecture built for the volume, variety, and velocity of modern data.
Our ApproachHow DIS got to work
DIS modernized the warehouse with Azure Synapse Analytics — combining enterprise data warehousing and big data analytics into a single platform that scales elastically and queries in real time.
- Audited the existing data infrastructure end-to-end and clarified business requirements.
- Architected and deployed Azure Synapse Analytics as the new warehousing core.
- Migrated historical data from the legacy warehouse with no loss of fidelity.
- Trained analyst teams on the new analytics, modeling, and reporting capabilities.
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Our SolutionThe result we delivered
Synapse didn't just replace the legacy stack — it changed the way the business thought about data. The team can now answer questions in seconds that used to take days, and the platform scales as fast as the company does.
- Elastic scale to match changing data volumes and workloads.
- Real-time insights replace overnight batch reporting.
- Diverse data sources unified into a single, holistic view.
- Operational efficiency lifted across every analytics-driven team.
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