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Monte Carlo University

  • Overview

Resource Center

  • Monte Carlo at a Glance
    • Quick Start Guide
  • Setting Up Monte Carlo
  • Security and Compliance
  • Change Log
  • Assets
    • Muting
    • Tags
    • Using Assets
  • Field Lineage
  • 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
    • Performance (Beta)
    • Using the Data Reliability Dashboard
    • Using the Table Health Dashboard
    • Using Data Product Dashboards
  • Insights
    • Importance Score Calculation
    • Insight: Key Assets
    • Insight: Coverage Overview
    • Insight: Table Cleanup Suggestions
    • Insight: Field-level Cleanup Suggestions
    • Insight: Field importance scores
    • 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
  • Settings
    • Authorization
    • Creating a notification in Monte Carlo
  • Single Sign On (SSO)
    • Map SSO Groups to Authorization Groups
    • FAQs and Troubleshooting
  • Advanced usage
    • PII Filtering
    • Muting schemas/tables using regex
    • Setting up dataset/schema controls
    • Locally setting up Monitors as Code

Data Health Monitoring

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

Developer Resources

  • Getting Started
  • Monte Carlo API
    • General
    • Integrations
    • Lineage
    • Monitors
  • API Explorer
  • Using the CLI
  • Using the SDK
  • Monitors as Code
    • Notifications as Code
    • Generating MC monitors from dbt tests

Data Collector

  • Overview
  • Data Asset Validators
  • 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
  • Troubleshooting & FAQ: Databricks
  • Appendix: Databricks
    • Migrating the Databricks Metadata Job to a Job Cluster

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

  • Alation
  • data.world
  • Atlan
  • dbt Integration
    • dbt Cloud
    • dbt Core
    • dbt Failures As Monte Carlo Incidents
  • Fivetran Integration
    • Troubleshooting and FAQ: Fivetran
  • Airflow (beta)
    • Airflow in Lineage
    • Airflow Incidents and Task Observability
  • Circuit breakers
    • Using providers
  • Prefect (beta)

Notifications & Collaboration

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

Anomaly Detection

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

Prefect (beta)

Suggest Edits

With the integration between Monte Carlo and Prefect teams can seamlessly manage the reliability of their data engineering workflows. This includes augmenting linage, enriching metadata, executing circuit breakers, and more.

Documentation is available on Prefect's site:

  • Prefect tasks and flows to interact with Monte Carlo

Updated 2 months ago