Automated Data Validation
Ensure the accuracy of data records across your organization.
Validate data automatically as a part of the ETL and Big Data ingestion processes, spanning Oracle, MS SQL, Informatica, Hadoop, HPQC, and JIRA.
LeTo works with advanced data comparison and business rules to deliver optimal performance.
Reduce manual effort to validate large bodies of data
Build accurate dashboards from large, disparate sets of data
Meet regulatory compliance, such as SOX, HIPAA, PCI, and more
We believe your data should be accurate, no matter how big or complex.
Use Case: Creating Actionable Business Data
You have launched a new product to millions of users. As the business owner, you need to understand a broad array data. You need to understand income and expense details, monitor support SLAs, understand infrastructure performance, and much more.
With LeTo, the data from these sources be integrated, unified, cleansed, and validated as it traverses systems so that it becomes usable, accurate, and actionable information.
Use Case: Transitioning to a Big Data Lake
As you help your company transition from a variety of legacy environments to one Big Data Lake, you understand this cannot effectively be accomplished manually.
LeTo helps you move the data, compare, and validate it in an automated fashion.
LeTo helps you avoid corruption, improperly mapped fields, and bad transformation rules.
Frequently Asked Questions
1. What platforms does this support?
Oracle, MS SQL, Informatica, Hadoop, HPQC, and JIRA.
2. Does LeTo require training for the entire team?
LeTo is designed to be intuitive and easy to use. It removes manual steps from the Solution Delivery Life Cycle and will require only minor training to implement the automation process.
3. How is LeTo deployed?
LeTo is a containerized solution in Docker and can be deployed on-premise or in the cloud.
4. Does LeTo support automated ETL deployments?
Yes. LeTo supports automated ETL Validation allowing the ETL Developer to quickly validate an ETL Package before submitting for deployment. LeTo also provides the user the ability to validate and deploy without having to submit for deployment.
5. Can LeTo run ad-hoc tests?
Yes. LeTo users can execute ad-hoc queries which are not present in the test suite against databases.
6. Is LeTo application dependent?
No. LeTo’s ETL testing framework is independent of the tool used for ETL. The test cases can be written and executed for any of the ETL tools, such as Informatica, SSIS, Sqoop, Kafka, etc..