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Introduction

  • What is Bigeye?

SETUP

  • Getting Started
  • Data Source Connection
    • Agent-based Connections
      • Connection status
      • Keberos Authentication
      • Migrating from mTLS to API Keys
      • Agent Changelog
    • Agentless Connections
      • Connect AWS Athena
      • Connect AWS Redshift
      • Connect Azure Synapse
      • Connect Databricks
      • Connect GCP BigQuery
      • Connect Microsoft SQL Server
      • Connect MySQL
      • Connect Oracle
      • Connect Postgres
      • Connect SAP HANA
      • Connect Snowflake
      • Connect Teradata
      • Connect Trino
  • Establish Lineage with Lineage Plus
    • Deploying Monitoring with Lineage
    • Lineage Plus Connectors
      • Azure Data Factory (ADF) Lineage Connector
  • Manage your Team
    • Manage Workspaces
    • Manage Groups
    • Manage Users
    • Manage Roles
      • Permissions
  • Security and Compliance

OBSERVABILITY SETUP

  • Preparing the Catalog
    • Collections
    • Popularity
    • Schema Change Detection
    • Favorites
    • Table Preview
  • Deploying Monitoring
    • Metrics
      • Deploy Metrics
      • Grouped Metrics
      • Row Creation Time
      • Debug Query
      • Freshness and Volume (Pipeline Reliability)
    • Thresholds
      • Autothresholds
      • Other Types of Thresholds
  • Customize Monitoring
    • Custom Rules
    • Deltas
      • Create and Delete Deltas
      • Run and Schedule Deltas
      • View Delta Results
    • Templates
    • Virtual Tables
      • Creating a Virtual Table
      • Editing a Virtual Table
      • Deleting a Virtual Table
      • Adding Metrics to a Virtual Table
      • Failed Connection
      • Use Cases for Virtual Tables

Incident Management

  • Getting Alerted
    • Slack
    • Email
    • Webhooks
    • Microsoft Teams
    • Jira
    • ServiceNow
  • Triaging an Issue
    • View Issues
    • View Issue Details
    • Change the Issue Status
    • Mute Issues
    • Find Related Issues
    • View Lineage
    • Debug Issues
    • Impact Analysis
    • bigAI
      • Issue and Incident Descriptions
      • Suggested Resolutions
      • Suggested Preventions
      • Cron Suggestions
      • Security and Privacy
  • Declaring an Incident

Reporting and Improvement

  • Reviewing Data Health
    • Scorecard
    • Dashboard
    • Snowflake Share Data Model

Integrations

  • BI Tools
    • Connect Tableau
  • Data Catalogs
    • Integration Implementation
    • Alation
    • Atlan
    • data.world
  • ETL and Orchestration Tools
    • Airflow
    • dbt
  • Browser Extension

Tutorials

  • Monitor Dashboard Health
  • Monitor Data Replication Accuracy with Bigeye Deltas
  • Interact with Bigeye via Slack
  • Monitor dbt performance with Bigeye
  • Referential Integrity
  • Validate dbt Model Changes Using Bigeye Deltas

Developer tools

  • bigConfig
  • Bigeye-CLI
  • Python SDK

API

  • API User Guide
  • Lineage API
  • Using API Keys

Reference

  • Available Metrics
  • Metric Window Types
  • Schedules
    • Cron Formatting
  • Single Sign-on (SSO)
    • Ping
    • Cisco Duo
    • Microsoft Entra
    • Okta
    • OpenID Connect
    • Mapping IDP SSO Groups to Bigeye Groups
  • Migrate Metrics Across Data Sources

Help

  • Browser Support

Data Use

  • Privacy Policy
  • Terms of Use
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Thresholds

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Thresholds determine at what point a metric indicates a problem. Once a metric has exceeded its thresholds in either direction, Bigeye will send an alert to the contacts specified in the metric itself or in any SLAs that the metric is a part of.

There are a few different kinds of thresholds that can be used in Bigeye:

  • autothresholds

  • constant thresholds

  • no thresholds

  • relative thresholds

  • freshness schedule thresholds

Updated over 1 year ago