MAQ Software and Snowflake
As a Snowflake Technology Partner with 150+ SnowPro certifications, MAQ Software has delivered 10+ enterprise implementations, plus cost and performance optimization and analytics extended with Power BI.
Snowflake platform services
Data warehouse migration to Snowflake
Migration from on-premises, legacy, or cloud sources with automated frameworks, optimized extract, transform, load (ETL), and zero-downtime execution, secure end to end.
Business intelligence with Snowflake & Power BI
Power BI running on Snowflake with tuned data models, where caching and elastic compute scaling carry real-time analytics and interactive dashboards.
Real-time analytics
Streaming data ingested, processed, and analyzed on Snowflake Streams, Tasks, and integrations like Kafka and Azure Event Hubs, so teams act on insights as they land.
Advanced analytics & AI/ML
Predictive analytics, anomaly detection, and automation built with Snowpark, Python, and ML models, including customer segmentation, fraud detection, and demand forecasting.
Embedded analytics & data monetization
Snowflake analytics embedded into applications and customer portals through API-based data sharing, multi-tenant architectures, and white-labeled analytics.
Marketplace offering
Data Validator
A MAQ Software listing on the Snowflake Marketplace that checks data between source and target tables. It compares row counts, key grain, and custom KPI logic, on demand or on a schedule you set.
- Row count checkvalidates that row counts between source and target tables are within a ±5% tolerance.
- Grain checkensures primary keys are unique across source and destination tables.
- KPI checkcompares custom KPI SQL logic or aggregated column values between source and destination, passing if the difference is within ±5%.
- Snowflake Tasksschedule test cases for automatic execution, with full CRON-style configuration and time zone support.
- Automatic loggingrecords comparison values, pass/fail status, and metadata for analysis in dashboards or the Show test cases view.
- Add test casedefine test parameters such as databases, tables, columns, and SQL queries.
- Show test casesview existing test cases by filters like table type and test type.
- Execute test caserun test cases on demand.
- View test resultssee execution status, timestamps, result IDs, and pass/fail outcomes, with historical trend analysis.
- Schedule test casesset a custom schedule to run checks automatically.
Tell us what you run on Snowflake today and where you want to get to, and we will point you at the right starting point.
