LiTech DQM

Product Overview

LiTech DQM is an easy to use, automated and secure platform for data quality management in relational databases. Used as a collaborative platform by data teams for data testing, profiling and monitoring, including automated test generation, validation scheduling and reporting.LiTech DQM brings all of your data validations into one environment, allowing you to save time and resources wasted on manual data testing. The platform reduces delays by detecting errors as soon as they appear, while allowing to integrate data quality validations into your internal processes and pipelines.
Version: 2023.12.4

By: LiTech

Categories: Data Governance
Data Catalogs
Master Data Management

Operating System
Linux/Unix, Ubuntu ubuntu 22
Delivery Methods
Amazon Machine Image

Highlights: All of your data validations in one place - hard coding validation queries into data pipelines and storing them in text files or query editors is unsustainable and does not allow collaboration. Our solution is a centralized application to store data validations for all of your databases, allowing easy collaboration between role-based users in your data teams. All validations and test cases are SQL based for clear expectations about the data. No more time wasted on manual data testing - creating data validations manually and sampling data are not efficient or reliable methods for testing large datasets. Our DQM application uses dynamic rules that are automatically applied for data objects without having to write any code. Validations are automatically executed and alerts triggered based on the results. Additional anomaly and deviation detection is done using machine learning algorithms integrated into the application. Reduced delays by detecting errors as soon as they appear - constant change in data requires systematic testing and monitoring to detect errors and ensure data quality. Our application prevents negative impact and delays by validating data whenever it is expected to change. This includes automated data quality reporting with detailed information on errors, and scheduled testing to trigger emails or webhooks on assertion failures.

Category: Infrastructure Software

Delivery Method: Amazon Machine Image