Data Modeling
Data Modeling on the APIs.io network is a curated area collecting 0 resources — specifications, tools, and documentation — for this subject.
16 providers on the network work in this area, including Relational Data Modeling, Databricks, Dagster, Azure Databricks, Databricks Asset Bundles, TetraScience, and 10 more — each links out to that provider’s APIs, schemas, and governance artifacts.
Related areas: Data Models, Database Normalization, Database Schema Design, and Schema Design. Browse every area at areas.apis.io.
About this area
Data Modeling is the discipline of designing structured representations of data to organize information, define relationships, and govern how data is stored, accessed, and managed. It spans conceptual, logical, and physical models across relational, dimensional, NoSQL, graph, and data vault paradigms, supported by standards and tools from the OMG, DAMA, Erwin, PowerDesigner, dbt, and modern data modeling platforms.
Related providers (16)
Network providers tagged for this area.
| Provider | Description | APIs | Rating |
|---|---|---|---|
| Relational Data Modeling | Relational data modeling is a database design approach that organizes data into tables (relations) with rows and columns, establishing relationships between tables through prima... | 4 | minimal |
| Databricks | Collection of Databricks REST APIs for managing workspaces, clusters, jobs, and data operations. | 57 | strong |
| Dagster | Dagster is a data orchestration platform centered on software-defined assets with strong observability and testing support. It exposes a GraphQL API for programmatic interaction... | 2 | strong |
| Azure Databricks | Azure Databricks is an Apache Spark-based analytics platform optimized for Microsoft Azure. It provides a collaborative workspace for data engineers, data scientists, and analys... | 39 | developing |
| Databricks Asset Bundles | Databricks Asset Bundles (DABs) provide an infrastructure-as-code approach to managing Databricks data and AI projects. Bundles enable version control, CI/CD, deployment, and ma... | 1 | developing |
| TetraScience | TetraScience is the scientific data and AI platform company behind the Tetra Scientific Data and AI Cloud — purpose-built infrastructure that liberates, replatforms, and enginee... | 1 | developing |
| Snowplow | Snowplow is a behavioral data platform that enables organizations to collect, process, and model granular event-level data from web, mobile, and server-side sources, providing a... | 2 | developing |
| Alteryx | Alteryx is an analytics automation platform that enables data analysts and scientists to break data barriers, deliver insights, and experience the thrill of getting to the answe... | 7 | developing |
| Apache Airflow | Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. Airflow uses directed acyclic graphs (DAGs) to manage workflow orchestrati... | 1 | developing |
| Microsoft Fabric | Microsoft Fabric is a unified analytics platform that brings together data engineering, data science, real-time analytics, and business intelligence. It provides REST APIs for m... | 2 | developing |
| Soda | Soda is an AI-native, fully automated data quality platform that helps data engineering and analytics teams define data quality checks, scan datasets, monitor data freshness, an... | 1 | developing |
| Vineyard | Vineyard (v6d) is an in-memory immutable data manager developed under CNCF TAG-Storage. It provides efficient zero-copy data sharing across distributed systems for big data anal... | 2 | thin |
| Holistics | Holistics is a self-service business intelligence and analytics platform built around code-based data modeling (AML - Analytics Modeling Language), Git version control, and a SQ... | 5 | thin |
| Mage | Mage is an open-source data pipeline tool for building, running, and managing data pipelines from transformer, data loader, and data exporter blocks. The self-hosted Mage app ex... | 4 | thin |
| Cloudera | Cloudera is a hybrid data platform company offering the Cloudera Data Platform (CDP) for data engineering, data warehousing, machine learning, streaming, and operational data. T... | 6 | thin |
| Lakehouse Architecture | Lakehouse Architecture is a data architecture paradigm that combines the best features of data lakes and data warehouses, providing ACID transactions, schema enforcement, and go... | 1 | minimal |
Related areas
Tags: Data Architecture, Data Engineering, Data Modeling, Database Design, Schema Design.
Sourced from the api-evangelist/data-modeling topic repo.