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Intro

  • What is Bigeye?

Introduction

  • Getting Started

Integrations

  • Data Sources
    • Connect Snowflake
    • Connect AWS Redshift
    • Connect Databricks Deltalake
    • Connect GCP BigQuery
    • Connect AWS Athena
    • Connect Azure Synapse
    • Connect Postgres
    • Connect MySQL
    • Connect Microsoft SQL Server
    • Connect Oracle
  • Pipeline Tools
  • Notification Methods
    • Webhooks
    • Slack

Tutorials

  • Monitor Dashboard Health
  • Monitor Data Replication Accuracy with Bigeye Deltas
  • Interact with Bigeye via Slack

Features

  • Catalog
    • Popularity
    • Schema Change Detection
  • Metrics
    • Autometrics
    • Manual Metrics
    • Grouped Metrics
    • Row Creation Time
  • Thresholds
    • Autothresholds
    • Other Types of Thresholds
  • Issues
  • SLAs
  • Templates
  • Deltas
    • Creating and Deleting Deltas
    • Running and Scheduling Deltas
    • Viewing Delta Results
    • Cron Formatting
  • 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

Advanced Features

  • API User Guide
  • Lineage API
  • CLI
    • Bigconfig

Reference

  • Available Metrics
  • Metric Window Types
  • Authenticating with Okta

Help

  • Browser Support

Data Use

  • Privacy Policy
  • Terms of Use

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 6 months ago