The Data Migration Quality Metrics You Need
Centralized observability layer for all your pre and post migration needs
Automated Profiling and Auditing
Organizations migrating to new cloud data warehouses or data lake architectures need easy and automated profiling and auditing tools to understand their current data structures and content. Telmai enables profiling, pattern, and outlier detection, and analysis, helping you understand the content of your data and its values at a granular level before migration.
Data Testing and Validation
Telmai’s data testing and validation features help ensure a well-designed and high-quality data lake or cloud warehouse environment. With Telmai, you can identify data quality issues, such as duplications, data loss, or inconsistencies after the migration.
Faster and More Cost-Efficient Migrations
Migration projects are less risky and completed in a fraction of time and resources, given Telmai’s low-code no-code product that does not require knowledge of SQL or technical data engineering skills.
Post Migration Data Observability
After the migration, Telmai’s ability to monitor all your data from structured, unstructured, or even streaming sources gives you a single, centralized data observability layer to monitor your entire new modern data stack, helping you leverage it to its fullest potential.
Eliminating Infrastructure Usage Costs
Unlike other data observability platforms that determine quality by querying the data warehouse or delta lake, Telmai’s architecture decouples its data quality analysis and scoring from the underlying data warehouses and delta lakes. This eliminates unnecessary and costly queries to these databases and, in turn, does not increase their usage costs.
Start your data observability today
Connect your data and start generating a baseline in less than 10 minutes.