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Migrating legacy SQL Data Warehouse to Snowflake for scalable performance

Data Engineering
Data Science
Visualization & Analytics

Key challenges

01

The client’s 10+ year-old SQL Server Data Warehouse faced significant performance bottlenecks and scaling issues, making it difficult to manage large data volumes (~12TB) efficiently

02

Maintaining their Data warehouse on a private Data center led to substantial operational costs, including hardware upkeep, and lacked the flexibility needed for growing data demands

03

With the private Data center contract nearing its expiration, the client was under pressure to complete the migration quickly to avoid additional costs and contractual penalties

Client in spotlight

The client is a leader in online survey development, offering Cloud-based surveys and related products across multiple industries. To keep up with growing business demands, they sought to modernize their Data infrastructure by migrating their legacy SQL Server Data Warehouse, which was hosted in a private Data center, to a Cloud-based Snowflake solution.

Unlocking Digital Success

Ideation
The customer aimed to enhance performance, reduce operational costs, and ensure scalability by migrating to Snowflake. The goal was to complete the migration before the Data center contract expired, avoiding penalties and ensuring early data availability for business use.
Our approach
We assessed the migration needs and implemented a flexible, metadata-driven solution to expedite the process. By using accelerators to convert SQL code, we ensured data quality through continuous regression tests and parallel environments for data validation.
Outcomes
Our solution provided a high-performance platform that reduced costs and ensured timely migration. We also improved batch execution and reporting performance, aligning with the company’s long-term strategic goals.
 
 

 

 

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Project outcomes

01
Migrated 120+ dashboards and 1,300+ DB objects
02
Enabled faster batch processing and reporting performance
03
Reduced operational and Data center costs
04
Ensured accurate Data migration to Snowflake
05
Delivered a scalable platform supporting future growth
Success Stories

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