Jump to Content
Monte Carlo
HomeGuidesRecipesDiscussions
HomeStatus PageAPI ExplorerAPI ReferenceCLI ReferenceBlogRequest a DemoLog InMonte Carlo
HomeStatus PageAPI ExplorerAPI ReferenceCLI ReferenceBlogRequest a DemoLog In

Introduction

  • Getting Started
  • Setting Up Monte Carlo
  • Security and Compliance
  • Change Log

Monte Carlo University

  • Overview
  • Quick Start Guide
  • Assets
    • Using Assets
  • Intro to monitors
    • Intro to automated monitoring
    • Intro to opt-in monitoring
    • Intro to rules-based monitoring
  • Setting up monitors
    • Setting up Field Health Monitors
    • Setting up Dimension Tracking Monitors
    • Setting up JSON Schema Monitors
    • Setting up Freshness Rules
    • Setting up Volume Rules
    • Setting up SQL Rules
  • Incidents
    • Interacting with Incidents
  • Dashboards
    • Using the Table Health Dashboard
  • Settings
    • Creating a notification in Monte Carlo
  • Advanced usage
    • Muting schemas/tables using regex
    • Setting up dataset/schema controls
    • Locally setting up Monitors as Code

Data Collector

  • Overview
  • Hybrid Deployment
    • Deploying the Collector
    • Upgrading the Collector
    • Advanced Configuration
  • Network Connectivity
    • AWS Networking Tips
    • AWS Network Recommender
    • VPC Peering using CloudFormation
    • PrivateLink using CloudFormation
    • AWS Networking Troubleshoot Guide

Data Warehouse Integrations

  • Overview: Data Warehouses
  • BigQuery
  • Redshift
  • Snowflake
  • Postgres (beta)
  • SQL Server (beta)
  • MySQL (beta)
  • Adding Additional Warehouses
  • Using self-hosted credentials

Databricks Integrations

  • Databricks setup
  • Troubleshooting & FAQ: Databricks
  • Appendix: Databricks
    • Migrating the Databricks Metadata Job to a Job Cluster
    • Databricks SQL Warehouse

Data Lake Integrations

  • Overview: Data Lakes
  • Metastores
    • Glue
    • Hive Metastore
  • Query Engines
    • Athena
    • Presto (beta)
    • Hive SQL (beta)
    • Spark
    • Presto, Hive, & EMR: Query Logs
  • Troubleshooting & FAQ: Data Lakes
  • Appendix: Data Lakes
    • Creating IAM Roles
    • Auto-generating IAM Policy Documents
    • Creating event notifications
    • Adding Additional Connections

BI Integrations

  • Overview: BI
  • Looker
  • Tableau
    • Troubleshooting and FAQs: Tableau
  • Power BI (beta)
    • Power BI - Credential Creation Process
  • Sigma (beta)
  • Periscope/Sisense (beta)
  • Mode
  • Adding or Modifying BI Connections

Other Integrations

  • dbt Integration
    • dbt Cloud
    • dbt Core
    • dbt Failures As Monte Carlo Incidents
  • Fivetran Integration (beta)
    • Troubleshooting and FAQ: Fivetran

Data Health Monitoring

  • Monitors Overview
  • Opt In Monitors
    • Field Health Monitors
  • Custom Rule Monitors
    • Custom Monitors - SQL Rules
    • Freshness Rules
    • Volume Rules
    • Field Quality Monitors
    • Reducing noise from rules
  • Misconfigured Monitors
  • Failure Notifications
  • Partition Filtering for Monitors
  • Field Profiling

Anomaly Detection

  • Detectors Overview
    • Freshness Detector
    • Volume Detector
    • Unchanged Size Detector
  • Root Cause Analysis (RCA) Insights

Notifications & Collaboration

  • Slack
  • MS Teams
  • PagerDuty
  • Opsgenie
  • Webhooks
  • Alation
  • Mattermost
  • Jira
  • Github

Other

  • Field Lineage
  • Insights
    • Importance Score Calculation
    • Insight: Key Assets
    • Insight: Coverage Overview
    • Insight: Table Cleanup Suggestions
    • Insight: Field-level Cleanup Suggestions
    • Insight: Events
    • Insight: Table Read/Write Activity
    • Insight: Rule and SLI Results
    • Insight: Dimension Tracking Suggestions
    • Insight: Field Health Suggestions
    • Insight: Misconfigured Monitors
    • Insight: BI Dashboard Analytics
    • Insight: Incident History
    • Insight: Heavy Queries
    • Insight: Consumption by user
    • Insight: Notifications by custom monitor
    • Insight: Unmonitored Tables
    • Insight: Field importance scores
  • Single Sign On (SSO)
    • Map SSO Groups to Authorization Groups
  • Authorization
  • Data Reliability Dashboard
  • PII Filtering
  • Tags

Developer Resources

  • Getting Started
  • Monte Carlo API
    • General
    • Integrations
    • Lineage
    • Monitors
  • API Explorer
  • Using the CLI
  • Using the SDK
  • Monitors as Code
    • Generating MC monitors from dbt tests
    • Notifications as Code
  • Circuit breakers (beta)
    • Using providers
  • Data Asset Validators (beta)

Using providers

Suggest Edits

Monte Carlo providers can be used in your pipelines to get and create resources using our Python SDK or any other dependencies.

OrchestratorsDetails
Airflowhttps://pypi.org/project/airflow-mcd/

Updated over 1 year ago