Semantics
What does this data mean?
The layer that maps physical tables to business meaning, so queries are written against concepts rather than schemas.
12 reference entries
Data Lineage Data Lineage is the documented record of how data moves, transforms, and evolves through an analytical system, from its origination at source systems through. Data Modeling Data Modeling is the process of creating a visual and logical representation of either a whole information system or parts of it to communicate connections. Data Quality Data Quality is the set of properties, practices, and enforcement mechanisms that ensure data assets in a lakehouse are fit for the purposes for which they. Dimension Table Understanding Dimension Tables, the descriptive context that gives meaning to analytical data. Dimensional Modeling Dimensional Modeling is a specialized data design methodology primarily utilized for data warehouses, data marts, and modern data lakehouses. Fact Table In dimensional modeling and data warehousing (specifically within a Star Schema or Snowflake Schema), a Fact Table is the central table that stores the. Knowledge Graphs A Knowledge Graph is a structured representation of knowledge as a network of entities and the relationships between them. Ontology An ontology is a formal, explicit specification of a shared conceptualization: a structured vocabulary that defines the types of entities that exist in a. Semantic Layer One of the most persistent and costly problems in enterprise analytics is metric inconsistency. Slowly Changing Dimensions (SCD) Slowly Changing Dimensions (SCD) is a fundamental concept in data warehousing that deals with a critical problem: How do you handle dimensional data that. Snowflake Schema The Snowflake Schema is a logical arrangement of tables in a multidimensional database that is an extension and variation of the Star Schema. Star Schema Understanding the Star Schema, the fundamental dimensional modeling technique optimized for analytical query performance.