- The amount, speed, and complexity of information is exploding exponentially.
- Businesses often operate within data silos limiting opportunities to collaborate, connect, and communicate efficiently.
- Data inventories are not well understood due to a lack of meaningful metrics such as usage and information flow.
Learn about the different Legend components and how they add value to each data-driven organization.
Cube -- Explore data from various data stores through Excel-like operations.
Studio -- Describe and connect data in business terms to create data models. Standardize terms and relationships across the entire organization to foster a consistent data vocabulary. Express those data models in diagrams to facilitate the dialog between business and development teams.
Query and Services -- Integrate data in a self-serve manner by first browsing and navigating the data model and by then asking informed questions to the data through queries in Query. Power users can register data-driven services (APIs) with a simple click of a button in Services allowing the repeated and controlled usage of the queries. It's easy to build customized user interfaces with those APIs increasing both developer productivity and time to market of your data products.
The Legend platform is backed by a powerful Execution Engine, which enables the usage of data models in numerous business workflows, and a robust Change Management (SDLC) process, which ensures the safe collaboration on and stability of the Legend platform. What does this mean for you? Opportunities are endless: Use data models in your live business processes, take advantage of detailed operational metrics as well as automate data transformations and code generations. Simply said, leverage Legend to rapidly transform into a data-driven organization with confidence.