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
Timbr.ai Partners with Databricks to Enable the Intelligent Semantic Delta Lake
Today we are thrilled to unveil our partnership with Databricks, a leading platform for large-scale data processing and analytics. This collaboration enables Databricks users to leverage Timbr’s robust capabilities, enhancing data management and analysis for more effective and efficient outcomes. As we begin this exciting journey, it’s crucial to understand
Boost Google Analytics 4 ROI with a Semantic Ontology
A standardized semantic model for Google Analytics 4 reduces the complexity of data handling and transforms it into an intuitive strategic tool that democratizes data access, allowing marketing and sales teams to gain insights into user interactions across digital platforms with minimal technical barriers. Introduction Google Analytics 4 (GA4) is
