Joule
  • Welcome to Joule's Docs
  • Why Joule?
    • Joule capabilities
  • What is Joule?
    • Key features
    • The tech stack
  • Use case enablement
    • Use case building framework
  • Concepts
    • Core concepts
    • Low code development
    • Unified execution engine
    • Batch and stream processing
    • Continuous metrics
    • Key Joule data types
      • StreamEvent object
      • Contextual data
      • GeoNode
  • Tutorials
    • Getting started
    • Build your first use case
    • Stream sliding window quote analytics
    • Advanced tutorials
      • Custom missing value processor
      • Stateless Bollinger band analytics
      • IoT device control
  • FAQ
  • Glossary
  • Components
    • Pipelines
      • Use case anatomy
      • Data priming
        • Types of import
      • Processing unit
      • Group by
      • Emit computed events
      • Telemetry auditing
    • Processors
      • Common attributes
      • Filters
        • By type
        • By expression
        • Send on delta
        • Remove attributes
        • Drop all events
      • Enrichment
        • Key concepts
          • Anatomy of enrichment DSL
          • Banking example
        • Metrics
        • Dynamic contextual data
          • Caching architecture
        • Static contextual data
      • Transformation
        • Field Tokeniser
        • Obfuscation
          • Encryption
          • Masking
          • Bucketing
          • Redaction
      • Triggers
        • Change Data Capture
        • Business rules
      • Stream join
        • Inner stream joins
        • Outer stream joins
        • Join attributes & policy
      • Event tap
        • Anatomy of a Tap
        • SQL Queries
    • Analytics
      • Analytic tools
        • User defined analytics
          • Streaming analytics example
          • User defined analytics
          • User defined scripts
          • User defined functions
            • Average function library
        • Window analytics
          • Tumbling window
          • Sliding window
          • Aggregate functions
        • Analytic functions
          • Stateful
            • Exponential moving average
            • Rolling Sum
          • Stateless
            • Normalisation
              • Absolute max
              • Min max
              • Standardisation
              • Mean
              • Log
              • Z-Score
            • Scaling
              • Unit scale
              • Robust Scale
            • Statistics
              • Statistic summaries
              • Weighted moving average
              • Simple moving average
              • Count
            • General
              • Euclidean
        • Advanced analytics
          • Geospatial
            • Entity geo tracker
            • Geofence occupancy trigger
            • Geo search
            • IP address resolver
            • Reverse geocoding
            • Spatial Index
          • HyperLogLog
          • Distinct counter
      • ML inferencing
        • Feature engineering
          • Scripting
          • Scaling
          • Transform
        • Online predictive analytics
        • Model audit
        • Model management
      • Metrics engine
        • Create metrics
        • Apply metrics
        • Manage metrics
        • Priming metrics
    • Contextual data
      • Architecture
      • Configuration
      • MinIO S3
      • Apache Geode
    • Connectors
      • Sources
        • Kafka
          • Ingestion
        • RabbitMQ
          • Further RabbitMQ configurations
        • MQTT
          • Topic wildcards
          • Session management
          • Last Will and Testament
        • Rest endpoints
        • MinIO S3
        • File watcher
      • Sinks
        • Kafka
        • RabbitMQ
          • Further configurations
        • MQTT
          • Persistent messaging
          • Last Will and Testament
        • SQL databases
        • InfluxDB
        • MongoDB
        • Geode
        • WebSocket endpoint
        • MinIO S3
        • File transport
        • Slack
        • Email
      • Serialisers
        • Serialisation
          • Custom transform example
          • Formatters
        • Deserialisers
          • Custom parsing example
    • Observability
      • Enabling JMX for Joule
      • Meters
      • Metrics API
  • DEVELOPER GUIDES
    • Setting up developer environment
      • Environment setup
      • Build and deploy
      • Install Joule
        • Install Docker demo environment
        • Install with Docker
        • Install from source
        • Install Joule examples
    • Joulectl CLI
    • API Endpoints
      • Mangement API
        • Use case
        • Pipelines
        • Data connectors
        • Contextual data
      • Data access API
        • Query
        • Upload
        • WebSocket
      • SQL support
    • Builder SDK
      • Connector API
        • Sources
          • StreamEventParser API
        • Sinks
          • CustomTransformer API
      • Processor API
      • Analytics API
        • Create custom metrics
        • Define analytics
        • Windows API
        • SQL queries
      • Transformation API
        • Obfuscation API
        • FieldTokenizer API
      • File processing
      • Data types
        • StreamEvent
        • ReferenceDataObject
        • GeoNode
    • System configuration
      • System properties
  • Deployment strategies
    • Deployment Overview
    • Single Node
    • Cluster
    • GuardianDB
    • Packaging
      • Containers
      • Bare metal
  • Product updates
    • Public Roadmap
    • Release Notes
      • v1.2.0 Join Streams with stateful analytics
      • v1.1.0 Streaming analytics enhancements
      • v1.0.4 Predictive stream processing
      • v1.0.3 Contextual SQL based metrics
    • Change history
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  • Starting point
  • Advanced tutorials

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Tutorials

Learning-oriented step-by-step guides. Ideal to begin your journey with Joule.

PreviousGeoNodeNextGetting started

Last updated 6 months ago

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Starting point

1

Learn to build a Joule locally and run a first banking real-time streaming use case.

2

Learn to use filters, enrichment, user defined alerts, and data connectors.

3

Define and deploy a set of sliding window analytics using OOTB analytic features.

Advanced tutorials

Progress beyond simple use cases by developing custom processors and analytics, use Joule's analytic capabilities and build ML prediction based pipelines.

1

Build, deploy and apply a custom missing value processor to provide consistent values over time.

2

Create a custom Bollinger band implementation using the analytics API and apply it within a use case context.

3

Build a sink data connector

Create, deploy and use a custom sink data connector.

4

Build your first machine learning pipeline

Getting started
Build your first use case
Stream sliding window quote analytics
Custom missing value processor
Build an analytic user defined function