Senior Cloud Architect @Datwave
As data reliance grows, a robust Data Warehouse (DWH) is vital. Our luxury goods client faced performance issues with their outdated 20-year-old DWH. Datwave modernized it by migrating to Google Cloud Platform (GCP) with BigQuery and Dataform. This upgrade reduced pipeline execution times from hours to minutes, enhanced data management with features like table snapshots, and utilized BigQuery’s scalable, cost-effective model. Discover how transitioning to GCP can resolve performance issues, improve efficiency, and support your evolving business needs.
As companies increasingly rely on data, a robust Data Warehouse (DWH) is crucial for IT infrastructure. Our luxury goods client, with a DWH built over 20 years, faced stability and performance issues due to outdated technology and undocumented legacy components. We addressed these challenges by refactoring code, improving infrastructure stability, and reducing pipeline execution times from hours to minutes, ensuring timely generation of key reports. Discover how modernizing your DWH can resolve performance issues and meet evolving business needs efficiently.
Datwave modernized a legacy Data Warehouse (DWH) by transitioning to Google Cloud Platform (GCP) using BigQuery and Dataform. BigQuery offered superior performance, seamless integration with Business Intelligence tools, robust security, and a flexible pay-as-you-go model. Dataform facilitated efficient data transformations and documentation, leveraging existing SQL-based logic and enhancing the system with modern data engineering practices. GCP features, such as table snapshots and Cloud Workflow, further optimized data management and monitoring. This upgrade improved performance, ensured data quality, and streamlined operations while maintaining continuity with the past. Discover how migrating to GCP can revolutionize your DWH with enhanced capabilities and cost efficiency.
Implementing BigQuery transformed pipeline performance by reducing execution times from two hours to just minutes. The flexible “pay-as-you-go” pricing model, combined with optimized queries like partition pruning, cut costs by processing only the necessary data and eliminating infrastructure management expenses. BigQuery’s fully managed, scalable architecture adapts effortlessly to the company’s evolving needs, providing significant efficiency and cost benefits. Discover how leveraging BigQuery can enhance data processing speed and cost-effectiveness while supporting growth.
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