Automate Data Warehouse, ETL Testing and Migration Testing The Agile Way
Data Warehouse, ETL & Migration projects are exposed to huge financial risks due to lack of QA automation. At iCEDQ, we suggest the agile rules based testing approach for all data integration projects.
QA Challenges in Data Integration
33% of your Data Integration project timeline can be reduced with proper QA methodologies. Lower risks in your Data warehouse, Data Migration, ETL, Data Lake, and MDM projects.
ETL Testing & Data Monitoring
A unified DataOps Automation Platform, deliver projects on time and eliminate data risks. iCEDQ provides you the ability to test your data warehouse, data migration, big data and monitor the data for compliance.
Data Certification Platform - Built for Performance and Hadoop
If you need performance and scalability; iCEDQ offers a Java-based server with the ability to test complex data transformation. It processes a large volume of data with high speed. It has…
Real-time and In-memory processing
Supports complex validation rules
Data Reconciliation rules
Groovy Scripting rules
ETL Test Automation Platform for Data Lakes & Data Warehouses
Are you aware; 99% of the companies have automated their Application Testing, but for Data Projects it is not even 1%!!!
Companies are migrating from the Legacy system to the new system or to the cloud. For this migration to be successful, the first step is to ensure that the schema in the new system is consistent with the legacy system. You can perform this verification of the new schema with iCEDQ.
Production Data Monitoring & Compliance
Every day organizations receive and process terabytes of data from external and internal sources. There are 1000’s of background jobs extracting, transforming and loading data for analytics. But how do you know, if you received correct data or if you processed the data correctly?