Today, data lakes have become an integral part of many organizations,
but analytics teams spend long cycles discovering, cleansing and standardizing data from siloed systems.
Data teams struggle with multiple tools to streamline data processing.
Inability to unify data silos from decentralized data sources across departments
Infinite existing data lakes without proper data lifecycle management
Multitude of data management tools that need to integrate with the data lakes
Different governance policies required for industry regulations and locations
Dataworkz helps organizations streamline the way data is discovered,
cataloged and transformed for analysis.
Find and profile data from different systems without any coding
Track how data was created, how it is being used, who is using it - when and how often
Automate the inventory of data assets stored in multiple data lakes
Consolidate the ability to search for data and metadata
Transform data using a self service experience and apply business rules for usage and consumption
Certify datasets, add comments and share usage metrics with data and business teams
Pre-calculate data for dashboards and detect outliers as new data arrives
Trust and secure de-centralized data and with visibility and control