Relationships are the established associations between two or more tables in one or more databases. Relationships are based on common fields from more than one table, often involving primary and foreign keys. SQL JOIN statements are used in queries to combine data or rows from two or more tables based on foreign keys common between …
FAQs
Timbr semantic graph relationships enable users to define transitive relationships in SQL to simplify data consumption. A transitive relationship enables inference by chaining of properties (or definition of logic) between the model’s concepts. Example of transitive relationship and reasoning: We define relationships located at between: (i) tourist attractions Louvre and Eiffel Tower, and the city of Paris; (ii) between cities Marseille and Paris, and the country France, …
Timbr semantic graph relationships enable users to define inheritance in SQL to simplify data consumption. An inheritance is a relationship between two or more hierarchies of concepts in which the attributes and relationships of the parent concepts are inherited to the lower hierarchy. This is very similar to inheritance in OODBs and PLs such as …
Computing power depending on the application size: Small-Medium: 4 CPU 16 GB RAM server. Large : 8 CPU 32 GB RAM server. Deployment options (Docker or Kubernetes): Docker/Linux: Linux image or automatic deployment via docker-compose can be installed on any Linux server (you can extend our YAML to add your security protocols, configurations, and customizations. …
Yes, any tool that can create an ERD from a JDBC connection can also create an ERD from a Timbr ontology.
Timbr connects to all popular data lakes, databases, BI tools, data science tools and notebooks, as well as various applications (APIs). Once connected, the data can be queried in SQL, Python/R, dataframes, and natively in Apache Spark (SQL, Python, R, Java, Scala). GraphQL can be supported by integrating external open source projects that support the …
What interfaces are available to connect with Timbr? Read More »
Yes. Timbr’s users can connect to Timbr with the help of REST APIs. Click here to learn more about how this is done.
Data mesh tries to solve three challenges with a centralized data lake/warehouse: Lack of ownership: who owns the data – the data source team or the infrastructure team? Lack of quality: the infrastructure team is responsible for quality but does not know the data well Organizational scaling: the central team becomes the bottleneck, such as …
What is a data mesh? and how does Timbr help implement a data mesh architecture? Read More »
Yes. Timbr provides a comprehensive solution to integrate multiple databases located in varied locations. In terms of deployment, Timbr is deployed in Kubernetes or Docker at the user’s choices. Timbr also supports multi-cluster deployments so users can deploy Timbr on Azure, GC or AWS. In general, Timbr recommends cloud because of the managed services, though …
Does Timbr work in a Hybrid/multi-Cloud environment? Read More »
Yes. Timbr’s default implementation for graph algorithms is networkX and it happens automatically, meaning that when a user writes an SQL query Timbr automatically runs the algorithm behind the scenes. Timbr also supports Nvidia’s Cugraph (GPU) enabling graph algorithms with advanced performance.
