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v1.0.11
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Getting Started
Welcome to Databand
Databand Overview
Dataset Logging
Tracking Data Lineage
Tracking SDK
Getting Started with DBND Tracking
Connecting DBND to Databand
Python Quickstart
Collected Metadata
Tracking Apache Airflow
Installing on Airflow Cluster
Integrating with Apache Airflow
Tracking Subprocess/Remote Tasks
CLI for Managing Airflow Syncers
Tracking DataStage
Tracking Python
Installing Python SDK
Metrics
Datasets
Histograms
Python SDK Configuration
Tracking Spark/JVM Applications
Installing JVM SDK and Agent
Installing on Spark Cluster
Tracking PySpark
Tracking Spark (Scala/Java)
Tracking dbt
Tracking Snowflake
Tracking Redshift
Tracking Azkaban
Accessing Collected Data and Managing Databand
Alerting CLI
Tracking MLFlow
Databand Application
Dashboard & Widgets
Job Monitoring
Sticky Filters
Projects
Affected Datasets
Histograms
Task Metrics
Alerting
Automatic Alerts Creation
Anomaly Detection In Alerting
Advanced Alerts Definition
Setting up Slack Notifications
Setting up Email Notifications
Settings
Airflow Syncer Configuration
Personal Access Tokens
dbt syncer configuration
Orchestration
Getting Started with Orchestration
Installing SDK
Orchestration Quickstart Tutorial
Orchestration Examples
Tasks, Pipelines, Data
Task
Pipeline
Parameters
Task Inputs
Task Outputs
Task Class
Task Meta
Task Configuration
Introduction to Configuration
Defaults for Engines and Nested Tasks
Extending Values
Overriding Values
Extending Configurations
Runtime Environment Configuration
GCP Environment
AWS Environment
Azure Environment
HDFS File System
Logging System
Running Pipelines
Run a Task via CLI
Run a Task in Python
Run a Task in PyCharm
Run a Task in Jupyter
Task Discovery
Cancelling Run Execution
Accessing Run Results
Testing & Debugging
Run Info
Airflow Orchestration Integration
Running DBND Pipelines with Apache Airflow Executors
Generate Airflow DAGs
Native Airflow Execution
Kubernetes Integration
Kubernetes Engine Configuration
Setup Kubernetes Cluster
Submitting a Kubernetes Run from a Local Machine
Airflow Live Logs in Kubernetes
Kubernetes Troubleshooting
Spark Integration
Spark Configuration
Spark Input and Outputs (DataFrame)
Spark on Local Machine
Spark on AWS EMR
Spark on Databricks
Spark on GCP Dataproc
Spark on Livy
Reusing Spark Context in the Same Process
Add Python Project to spark submission
Testing Spark Tasks
Extending DBND SDK
DBND Plugins
Custom Target
Custom Value Type
Custom Parameter
Custom Decorators
Custom Marshaller
FAQ and Troubleshooting
Error Reporting Logs
dbnd-doctor Checks & Logs
Databand Self-Hosted
Databand Self-Hosted
Docker Compose Deployment
Changelog (Breaking Changes)
External Monitoring Systems
Enable HTTPS access
Kubernetes Deployment
Alert Configuration for Self-Hosting
External DB for Databand MetaData
Authentication Providers (OAuth/SAML)
User management
Others
Databand Tracking Integrations
Deprecated Pages
[deprecated] Databand Application Overview
[deprecated] airflow-sandbox
[deprecated] Tracking Dataproc
[deprecated] Installing DBND on EMR Cluster
[deprecated] Trend Analysis
[deprecated] Tracking Stores Configuration
[deprecated] Prerequisites
[deprecated] Data Quality Monitoring
[deprecated] Python Scripts
[deprecated] Python Functions
[deprecated] Release Changelog
[deprecated] Custom Metrics using SQL queries
[deprecated] System Requirements and Supportability
[deprecated] JVM SDK Configuration
[derpecated] Getting Started with Databand
[deprecated] Orchestration Getting Started
[deprecated] Installing on Databricks Spark Cluster
[deprecated] Amazon Managed Workflows Airflow
[deprecated] Google Cloud Composer
[deprecated] Astronomer
[deprecated] Airflow Tracking Configuration
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[deprecated] airflow-sandbox
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Tracking Airflow DAGs
Updated about 1 year ago
