Use Telmai to profile and inspect your data at scale. Find patterns and anomalies that can guide you in building your data quality and analytics models. With Telmai you don’t need to sample your data or be limited to a subset. Telmai is built on a Spark architecture, giving you the ability to profile and investigate your data at scale and in its entirety.
Telmai’s built-in AI and machine learning can investigate not only structured data, but also data that is typically dark and hard to read and parse. This includes semi-structured, 3rd party information, or user generated tables that you don’t clearly know about. Telmai's data profiling investigates nested structures and flags anomalies and inconsistent patterns in your data content in just minutes.
Data profiling helps you migrate from legacy, undocumented data lakes and databases into modern cloud stacks without writing any code. As you move to a modern data stack, use Telmai to profile, understand, and curate the right data for your migration, use the knowledge to properly design and structure your data transformation and data warehousing. Once migrated Telmai becomes your modern data stack’s observability layer.