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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 analysts to work together on big data and machine learning workloads.

39 APIs 1 Capabilities 12 Features
AnalyticsApache SparkBig DataData EngineeringMachine Learning

APIs

Azure Databricks REST API

Core REST API for managing Azure Databricks workspaces, clusters, jobs, notebooks, and other resources programmatically.

Clusters API

Manage Databricks clusters for running Spark jobs including creating, starting, editing, listing, terminating, and deleting clusters.

Jobs API

Create, manage, and run jobs on Databricks clusters including scheduling, listing runs, and managing job permissions.

Workspace API

Manage notebooks, folders, and other workspace objects including listing, importing, exporting, and deleting workspace items.

DBFS API

Access Databricks File System (DBFS) for file operations including uploading, downloading, listing, and deleting files and directories.

Libraries API

Manage libraries and dependencies on clusters including installing, uninstalling, and listing library statuses.

Secrets API

Manage secrets and secret scopes for secure credential storage including creating scopes, putting secrets, and managing ACLs.

Token Management API

Create and manage personal access tokens for API authentication including creating, listing, and revoking tokens.

SQL Analytics API

Manage SQL warehouses, queries, and dashboards for Databricks SQL analytics workloads.

MLflow API

Track experiments, log metrics, and manage ML models using the MLflow tracking and registry APIs.

Instance Pools API

Create and manage instance pools to reduce cluster start and autoscaling times by maintaining a set of idle ready-to-use cloud instances.

Cluster Policies API

Create, list, and edit cluster policies to control cluster configurations and limit the ability to configure clusters based on a set of rules.

Repos API

Manage Git repositories within Databricks workspaces for version control of notebooks and files.

Git Credentials API

Manage Git credentials for authenticating with Git providers when using Databricks Repos.

Pipelines API

Create, edit, delete, start, and view details about Delta Live Tables pipelines for building reliable data pipelines.

Permissions API

Manage permissions on workspace objects including clusters, jobs, notebooks, and other resources using access control lists.

Unity Catalog - Catalogs API

Manage Unity Catalog catalogs for organizing and governing data assets across workspaces.

Unity Catalog - Schemas API

Manage schemas within Unity Catalog catalogs for organizing tables, views, and functions.

Unity Catalog - Tables API

Manage tables within Unity Catalog schemas including listing, getting, and deleting tables.

Unity Catalog - Volumes API

Manage Unity Catalog volumes for governing non-tabular data such as files and directories.

Unity Catalog - Grants API

Manage permissions and grants on Unity Catalog objects including catalogs, schemas, tables, and other securable objects.

Unity Catalog - External Locations API

Manage external locations in Unity Catalog for connecting to cloud storage paths.

Unity Catalog - Storage Credentials API

Manage storage credentials in Unity Catalog for authenticating access to cloud storage.

Unity Catalog - Metastores API

Manage Unity Catalog metastores which serve as the top-level container for data governance.

Model Serving Endpoints API

Create and manage model serving endpoints for deploying machine learning models as REST API endpoints.

Model Registry API

Manage registered models and model versions in the Databricks Model Registry for model lifecycle management.

Registered Models API

Manage registered models in Unity Catalog for centralized model governance and sharing.

Global Init Scripts API

Manage global cluster initialization scripts that run on every cluster in the workspace.

IP Access Lists API

Manage IP access lists to control network access to Azure Databricks workspaces.

Statement Execution API

Execute SQL statements on SQL warehouses and retrieve results for programmatic SQL access.

Command Execution API

Execute commands on running clusters and retrieve results programmatically.

Files API

Manage files in Unity Catalog volumes and workspace filesystem with operations for uploading, downloading, and deleting files.

Apps API

Deploy and manage Databricks Apps including creating, starting, stopping, and listing custom applications.

Lakeview API

Manage Lakeview dashboards programmatically including creating, updating, and publishing dashboards.

Online Tables API

Manage online tables for low-latency serving of feature data in Unity Catalog.

Vector Search Indexes API

Manage vector search indexes for similarity search and retrieval-augmented generation workloads.

Vector Search Endpoints API

Manage vector search endpoints for hosting vector search indexes.

Query History API

Retrieve query history for SQL warehouses including query text, status, and performance metrics.

Account SCIM API

Manage users, groups, and service principals across the Databricks account using SCIM 2.0 protocol.

Capabilities

Azure Databricks Data Engineering

Manage Azure Databricks clusters, jobs, and workspace objects for data engineering workflows. Used by data engineers and platform administrators.

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Features

Use Cases

Integrations

Semantic Vocabularies

Azure Databricks Context

0 classes · 0 properties

JSON-LD

API Governance Rules

Azure Databricks API Rules

7 rules · 7 errors

SPECTRAL

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