From ETL to Semantic Model: Modeling a Semantic Layer in Databricks with Timbr
Timbr’s native integration with Databricks offers a novel approach that combines the power of ETL processes with the advantages of semantic modeling directly within the familiar Databricks Notebook. This integration provides a unified, fully declarative method for defining ETL pipelines and semantic models, opening up new possibilities to bridge the
Timbr Seamlessly Integrates with Databricks’ Unity Catalog
Timbr Intelligent Semantic Layer integrates with Databricks’s Unity Catalog Introduction The Timbr Platform, combined with Databricks, offers a powerful solution for creating and utilizing scalable semantic graph data models accesible in SQL for big data environments to efficiently integrate, manage, and share data across teams and business functions. This article
Why You Need to Consider Knowledge Graphs in Your LLM Strategy
Introduction Part 1 of 2 Large language models (LLMs) and semantic knowledge graphs (KGs) are two technologies that offer unique strengths, each contributing distinct capabilities to the field of artificial intelligence. LLMs, such as GPT-4, are designed to understand and generate human-like text. They can process vast amounts of natural language data,
Easily Transform ERD Drawings into Intelligent Semantic Models with ChatGPT
Introduction Timbr users often ask for a straightforward method to transform their legacy data model into an SQL ontology design to help jumpstart the creation of their new intelligent semantic data model. Data teams also enquire how to use existing ERD designs as the basis for new Timbr-powered data products.
Inheritance in SQL to Power Complex Analytics
Introduction One core of data management in relational databases lies in accurately modeling real-world hierarchies, a task that becomes exponentially more challenging with the concept of inheritance. Traditional SQL databases are not inherently designed to conveniently handle inheritance, leading to inefficient data representation and cumbersome query mechanisms. This inefficiency is
Transforming Microsoft Synapse Data Models into Semantic Layers
Introduction Microsoft Synapse Common Data Models (CDM) and Industry Data Models (IDMs) enable data product interoperability. Both model types help users organize the way data is shaped and shared and ensure to keep data understandable. Transforming CDMs and IDMs into Timbr intelligent semantic layers offers several advantages, particularly in scenarios where
