agentic-data-stack-community
Version:
AI Agentic Data Stack Framework - Community Edition. Open source data engineering framework with 4 core agents, essential templates, and 3-dimensional quality validation.
565 lines (487 loc) • 17.6 kB
YAML
# Quality Monitoring Template
# Standardized template for data quality monitoring systems across the AI Agentic Data Stack Framework
metadata:
template_id: "quality-monitoring-tmpl"
name: "Quality Monitoring Template"
version: "1.0.0"
description: "Comprehensive template for implementing data quality monitoring with automated checks, alerting, and remediation workflows"
category: "data-quality"
tags: ["quality", "monitoring", "validation", "alerts", "governance", "automation"]
created_by: "AI Agentic Data Stack Framework"
created_date: "2025-01-23"
# Template Structure
template:
name: "Quality Monitoring Template"
description: "Template for implementing comprehensive data quality monitoring with automated checks and remediation workflows"
version: "1.0.0"
sections:
- monitoring_config
- quality_dimensions
- monitoring_infrastructure
- quality_rules
- alerting_system
- dashboard_reporting
- data_profiling
- anomaly_detection
- integration_apis
- security_compliance
- performance_scalability
- maintenance_operations
# Monitoring Configuration
monitoring_config:
# Basic Information
monitoring_id: "${monitoring_id}"
monitoring_name: "${monitoring_name}"
description: "${monitoring_description}"
version: "${monitoring_version}"
# Monitoring Scope
scope:
target_systems: ["${target_systems}"]
data_sources: ["${monitored_data_sources}"]
business_domains: ["${business_domains}"]
criticality_level: "${criticality_level}" # critical, high, medium, low
# Metadata
metadata:
owner: "${monitoring_owner}"
steward: "${data_steward}"
created_date: "${creation_date}"
last_modified: "${last_modified_date}"
status: "${monitoring_status}" # active, inactive, maintenance, deprecated
# Quality Dimensions
quality_dimensions:
# Completeness Monitoring
completeness:
enabled: ${completeness_monitoring_enabled}
threshold: ${completeness_threshold} # percentage
# Completeness Rules
rules:
- rule_id: "${completeness_rule_id}"
rule_name: "${completeness_rule_name}"
field_name: "${monitored_field}"
null_check: ${null_value_check}
empty_string_check: ${empty_string_check}
default_value_check: ${default_value_check}
# Accuracy Monitoring
accuracy:
enabled: ${accuracy_monitoring_enabled}
threshold: ${accuracy_threshold}
# Accuracy Rules
rules:
- rule_id: "${accuracy_rule_id}"
rule_name: "${accuracy_rule_name}"
validation_method: "${validation_method}" # format, range, lookup, pattern
validation_criteria: "${validation_criteria}"
reference_data: "${reference_data_source}"
# Consistency Monitoring
consistency:
enabled: ${consistency_monitoring_enabled}
threshold: ${consistency_threshold}
# Consistency Rules
rules:
- rule_id: "${consistency_rule_id}"
rule_name: "${consistency_rule_name}"
consistency_type: "${consistency_type}" # cross_field, cross_table, cross_system
primary_field: "${primary_field}"
reference_field: "${reference_field}"
tolerance: ${consistency_tolerance}
# Validity Monitoring
validity:
enabled: ${validity_monitoring_enabled}
threshold: ${validity_threshold}
# Validity Rules
rules:
- rule_id: "${validity_rule_id}"
rule_name: "${validity_rule_name}"
data_type_check: ${data_type_validation}
format_check: "${format_validation_pattern}"
business_rule_check: "${business_rule_validation}"
# Uniqueness Monitoring
uniqueness:
enabled: ${uniqueness_monitoring_enabled}
threshold: ${uniqueness_threshold}
# Uniqueness Rules
rules:
- rule_id: "${uniqueness_rule_id}"
rule_name: "${uniqueness_rule_name}"
unique_fields: ["${unique_field_combinations}"]
duplicate_detection_method: "${duplicate_detection_method}"
# Timeliness Monitoring
timeliness:
enabled: ${timeliness_monitoring_enabled}
threshold: ${timeliness_threshold} # in hours/minutes
# Timeliness Rules
rules:
- rule_id: "${timeliness_rule_id}"
rule_name: "${timeliness_rule_name}"
timestamp_field: "${timestamp_field}"
freshness_requirement: "${freshness_requirement}"
lag_tolerance: ${acceptable_lag_minutes}
# Monitoring Infrastructure
monitoring_infrastructure:
# Data Collection
data_collection:
collection_method: "${collection_method}" # batch, streaming, api, direct
collection_frequency: "${collection_frequency}" # real-time, hourly, daily, weekly
# Sampling Strategy
sampling:
enabled: ${sampling_enabled}
sampling_method: "${sampling_method}" # random, systematic, stratified
sample_size: ${sample_size}
sample_percentage: ${sample_percentage}
# Processing Engine
processing:
engine_type: "${processing_engine}" # spark, pandas, sql, custom
parallel_processing: ${parallel_processing_enabled}
batch_size: ${processing_batch_size}
# Storage System
storage:
metrics_storage: "${metrics_storage_location}"
historical_retention: "${historical_retention_period}"
compression_enabled: ${data_compression_enabled}
partitioning_strategy: "${partitioning_strategy}"
# Quality Rules Engine
quality_rules:
# Rule Categories
rule_categories:
- category_id: "${rule_category_id}"
category_name: "${rule_category_name}"
description: "${rule_category_description}"
severity: "${rule_severity}" # critical, high, medium, low, info
# Rule Definitions
rule_definitions:
- rule_id: "${rule_id}"
rule_name: "${rule_name}"
rule_type: "${rule_type}" # threshold, pattern, statistical, business
# Rule Logic
logic:
expression: "${rule_expression}"
parameters: ["${rule_parameters}"]
conditions: ["${rule_conditions}"]
# Execution Configuration
execution:
frequency: "${execution_frequency}"
timeout: ${rule_timeout_seconds}
retry_attempts: ${retry_attempts}
# Thresholds
thresholds:
warning_threshold: ${warning_threshold}
critical_threshold: ${critical_threshold}
failure_threshold: ${failure_threshold}
# Rule Groups
rule_groups:
- group_id: "${rule_group_id}"
group_name: "${rule_group_name}"
rules: ["${grouped_rules}"]
execution_order: "${execution_order}" # sequential, parallel
dependency_rules: ["${dependency_rules}"]
# Alerting System
alerting_system:
# Alert Configuration
alert_config:
enabled: ${alerting_enabled}
alert_throttling: ${alert_throttling_enabled}
throttling_window: ${throttling_window_minutes}
# Alert Channels
channels:
# Email Alerts
email:
enabled: ${email_alerts_enabled}
smtp_server: "${smtp_server}"
recipients: ["${email_recipients}"]
template: "${email_template}"
# Slack Integration
slack:
enabled: ${slack_alerts_enabled}
webhook_url: "${slack_webhook_url}"
channel: "${slack_channel}"
mention_users: ["${slack_mention_users}"]
# SMS Alerts
sms:
enabled: ${sms_alerts_enabled}
provider: "${sms_provider}"
recipients: ["${sms_recipients}"]
# Webhook Notifications
webhook:
enabled: ${webhook_alerts_enabled}
endpoint: "${webhook_endpoint}"
authentication: "${webhook_auth_method}"
# Alert Rules
alert_rules:
- alert_id: "${alert_id}"
alert_name: "${alert_name}"
trigger_condition: "${trigger_condition}"
severity: "${alert_severity}"
# Escalation
escalation:
enabled: ${escalation_enabled}
escalation_levels: ["${escalation_levels}"]
escalation_delay: ${escalation_delay_minutes}
# Suppression
suppression:
enabled: ${alert_suppression_enabled}
suppression_window: ${suppression_window_hours}
suppression_conditions: ["${suppression_conditions}"]
# Dashboard and Reporting
dashboard_reporting:
# Quality Dashboard
dashboard:
enabled: ${dashboard_enabled}
dashboard_url: "${dashboard_url}"
# Dashboard Components
components:
- component_id: "${component_id}"
component_type: "${component_type}" # metric, chart, table, alert
title: "${component_title}"
data_source: "${component_data_source}"
refresh_interval: ${component_refresh_seconds}
# Reporting
reporting:
# Automated Reports
automated_reports:
enabled: ${automated_reporting_enabled}
# Report Types
report_types:
- report_id: "${report_id}"
report_name: "${report_name}"
report_format: "${report_format}" # pdf, html, csv, json
schedule: "${report_schedule}"
recipients: ["${report_recipients}"]
# Ad-hoc Reports
adhoc_reports:
enabled: ${adhoc_reporting_enabled}
report_builder: "${report_builder_tool}"
available_metrics: ["${available_metrics}"]
# Visualization
visualization:
# Chart Types
chart_types:
trend_charts: ${trend_charts_enabled}
heatmaps: ${heatmaps_enabled}
scorecards: ${scorecards_enabled}
distribution_charts: ${distribution_charts_enabled}
# Styling
styling:
theme: "${visualization_theme}"
color_palette: "${color_palette}"
branding: ${branding_enabled}
# Data Profiling
data_profiling:
# Profiling Configuration
profiling_config:
enabled: ${data_profiling_enabled}
profiling_frequency: "${profiling_frequency}"
full_profiling_schedule: "${full_profiling_schedule}"
# Profile Metrics
profile_metrics:
# Statistical Metrics
statistical:
enabled: ${statistical_profiling_enabled}
metrics: ["${statistical_metrics}"] # min, max, mean, median, std_dev, percentiles
# Distribution Analysis
distribution:
enabled: ${distribution_analysis_enabled}
histogram_bins: ${histogram_bins}
outlier_detection: ${outlier_detection_enabled}
# Pattern Analysis
patterns:
enabled: ${pattern_analysis_enabled}
common_patterns: ["${common_patterns}"]
pattern_threshold: ${pattern_threshold}
# Profile Storage
profile_storage:
storage_location: "${profile_storage_location}"
retention_period: "${profile_retention_period}"
compression: ${profile_compression_enabled}
# Anomaly Detection
anomaly_detection:
# Detection Methods
detection_methods:
# Statistical Methods
statistical:
enabled: ${statistical_anomaly_detection}
methods: ["${statistical_methods}"] # z_score, iqr, isolation_forest
sensitivity: ${anomaly_sensitivity}
# Machine Learning Methods
machine_learning:
enabled: ${ml_anomaly_detection}
algorithms: ["${ml_algorithms}"] # autoencoder, one_class_svm, local_outlier_factor
model_training_frequency: "${model_training_frequency}"
# Rule-based Methods
rule_based:
enabled: ${rule_based_anomaly_detection}
custom_rules: ["${custom_anomaly_rules}"]
# Anomaly Response
response:
automatic_flagging: ${automatic_anomaly_flagging}
investigation_workflow: "${investigation_workflow}"
false_positive_feedback: ${false_positive_feedback_enabled}
# Integration and APIs
integration_apis:
# Data Source Integration
data_sources:
# Database Connections
databases:
- connection_id: "${db_connection_id}"
connection_type: "${db_type}" # postgresql, mysql, oracle, sql_server
connection_string: "${db_connection_string}"
authentication: "${db_authentication}"
# API Integrations
apis:
- api_id: "${api_id}"
api_endpoint: "${api_endpoint}"
authentication_method: "${api_auth_method}"
rate_limits: "${api_rate_limits}"
# External Tool Integration
external_tools:
# Data Catalogs
data_catalog:
enabled: ${data_catalog_integration}
catalog_type: "${catalog_type}" # apache_atlas, aws_glue, azure_purview
sync_frequency: "${catalog_sync_frequency}"
# Workflow Orchestration
orchestration:
enabled: ${orchestration_integration}
orchestrator: "${orchestrator_type}" # airflow, prefect, azure_data_factory
workflow_triggers: ["${workflow_triggers}"]
# API Endpoints
api_endpoints:
# Quality Metrics API
metrics_api:
endpoint: "${metrics_api_endpoint}"
authentication: "${api_authentication}"
rate_limiting: "${api_rate_limiting}"
# Alerts API
alerts_api:
endpoint: "${alerts_api_endpoint}"
webhook_support: ${webhook_support_enabled}
# Security and Compliance
security_compliance:
# Data Security
data_security:
encryption_at_rest: ${encryption_at_rest_enabled}
encryption_in_transit: ${encryption_in_transit_enabled}
access_control: "${access_control_method}"
# Audit Logging
audit_logging:
enabled: ${audit_logging_enabled}
log_level: "${audit_log_level}"
log_retention: "${audit_log_retention_period}"
# Compliance
compliance:
frameworks: ["${compliance_frameworks}"] # gdpr, hipaa, sox, pci_dss
compliance_reporting: ${compliance_reporting_enabled}
data_lineage_tracking: ${data_lineage_tracking_enabled}
# Performance and Scalability
performance_scalability:
# Performance Configuration
performance:
# Resource Allocation
resources:
cpu_cores: ${allocated_cpu_cores}
memory_gb: ${allocated_memory_gb}
storage_gb: ${allocated_storage_gb}
# Optimization
optimization:
query_optimization: ${query_optimization_enabled}
caching_enabled: ${performance_caching_enabled}
parallel_execution: ${parallel_execution_enabled}
# Scalability
scalability:
# Auto-scaling
auto_scaling:
enabled: ${auto_scaling_enabled}
scaling_triggers: ["${scaling_triggers}"]
min_instances: ${min_instances}
max_instances: ${max_instances}
# Load Balancing
load_balancing:
enabled: ${load_balancing_enabled}
balancing_strategy: "${load_balancing_strategy}"
# Maintenance and Operations
maintenance_operations:
# Maintenance Tasks
maintenance_tasks:
# Routine Maintenance
routine:
- task_id: "${maintenance_task_id}"
task_name: "${maintenance_task_name}"
schedule: "${maintenance_schedule}"
duration_estimate: "${maintenance_duration}"
# System Health Checks
health_checks:
enabled: ${health_checks_enabled}
check_frequency: "${health_check_frequency}"
health_metrics: ["${health_metrics}"]
# Backup and Recovery
backup_recovery:
# Backup Configuration
backup:
enabled: ${backup_enabled}
backup_frequency: "${backup_frequency}"
backup_retention: "${backup_retention_period}"
# Recovery Procedures
recovery:
recovery_time_objective: "${rto_hours}"
recovery_point_objective: "${rpo_hours}"
disaster_recovery_plan: "${dr_plan_location}"
# Validation Rules
validation_rules:
required_fields:
- monitoring_id
- monitoring_name
- scope.target_systems
- quality_dimensions
- monitoring_infrastructure
field_constraints:
criticality_level:
allowed_values: ["critical", "high", "medium", "low"]
collection_method:
allowed_values: ["batch", "streaming", "api", "direct"]
processing_engine:
allowed_values: ["spark", "pandas", "sql", "custom"]
quality_requirements:
- completeness_threshold: ">=0.8"
- accuracy_threshold: ">=0.9"
- timeliness_threshold: "<=24_hours"
# Monitoring Templates
monitoring_templates:
customer_data_monitoring:
description: "Customer data quality monitoring"
quality_dimensions:
- completeness: { threshold: 0.95 }
- accuracy: { threshold: 0.98 }
- uniqueness: { threshold: 0.99 }
critical_fields: ["customer_id", "email", "registration_date"]
financial_data_monitoring:
description: "Financial transaction monitoring"
quality_dimensions:
- accuracy: { threshold: 0.999 }
- consistency: { threshold: 0.98 }
- timeliness: { threshold: "1_hour" }
compliance_frameworks: ["sox", "pci_dss"]
# Usage Examples
examples:
real_time_monitoring:
monitoring_name: "Real-time Sales Data Quality"
collection_frequency: "real-time"
alerting_enabled: true
dashboard_enabled: true
batch_monitoring:
monitoring_name: "Daily ETL Quality Check"
collection_frequency: "daily"
profiling_enabled: true
automated_reporting: true
# Documentation References
documentation_references:
data_quality_frameworks: "https://www.dama-dmbok.org/"
monitoring_best_practices: "https://cloud.google.com/architecture/dq-monitoring-and-alerting"
quality_metrics: "https://www.collibra.com/blog/data-quality-metrics"
# Template Metadata
template_metadata:
author: "AI Agentic Data Stack Framework"
maintainer: "Data Quality Engineer"
last_updated: "2025-01-23"
changelog:
- version: "1.0.0"
date: "2025-01-23"
changes: "Initial template creation with comprehensive quality monitoring configuration"