The client is a global provider of development, production, technical expertise, and services to a wide range of metal, steel, and manufacturing industries.
The client is a global provider of development, production, technical expertise, and services to a wide range of metal, steel, and manufacturing industries.
The client wanted to implement a cloud data warehouse solution so that they could seamlessly access and query large datasets from SQL Server Reporting Services (SSRS) reports pertaining to relevant industry sales. At present, the performance of SSRS was extremely poor while generating the reports from SQL Server Analysis Service.
Our team’s primary focus was to improve the accessibility to the large datasets by loading data into Snowflake’s staging tables from a CSV file. Next, we populated Snowflake’s data warehouse tables from the staging tables and used Snowflake computing to generate the calculated/aggregated fields. The information is then displayed through the SSRS Report. This approach, we felt, would improve the overall performance of the reporting process.
Data-Core’s successful implementation of Snowflake’s cloud data warehouse, along with data loading, aggregation and segregation improved the reporting performance of the SSRS Sales Reports by approximately ten times, saving the client time and money substantially. In addition, our team at DataCore Systems provided reports using Power BI, and the performance was a notch better than what was achieved with SSRS. This was a value-added service which we provided to the client.
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