Toto’s Steve Porcaro trying to make sense of a Polyfusion modular synth (1979)
Connecting the enterprise data sources required to deliver value from data can prove an arduous task, but once this is accomplished, the real, time-consuming, and complex challenges reside in discovering, understanding and querying the data.
Most organizations have multiple databases, each usually dedicated to supporting one application or another. In addition, individual users and teams create or capture valuable data in documents, spreadsheets, etc. A variety of approaches, architectures and tools promise to deliver digital heaven that enables easy data consumption from both the enterprise and ad-hoc data sources.
Data warehouses and data lakes conveniently concentrate the data but cannot reduce the tremendous effort required to discover and connect it, and certainly do not solve the lack of harmonization due to the variety of original sources.
Virtualization solutions prevent moving the data but still do not solve the access complexity and the harmonization problem efficiently.
The above alternatives also lack a graph structure that provides a 360 view of data by exposing relationships and dependencies, so they leave the user with the complex task of creating long, “joins” intensive SQL queries which are difficult to maintain and re-use.
Graph solutions that deal with relationships either require the time consuming and costly transformation of data into graph format or, if virtual, still require the learning of new languages to model and/or query the graph. They also do not connect seamlessly to the popular BI tools.
Timbr offers the most convenient and cost-effective alternative by combining the convenience of virtualization that avoids data movement, and the relationship-rich features and analytics capabilities of graph solutions. Users benefit from a semantic data mesh architecture, short SQL queries without union and join statements and all this while remaining within the familiar environment of the SQL ecosystem.
Contact us to try out Timbr and verify how it seamlessly integrates your data sources, shortens time to value and empowers you to make strategic use of data.
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