Preface
Introduction to Informatica Edge Data Streaming
- Informatica Edge Data Streaming Overview
- Edge Data Streaming Architecture
- Data Flow Model
- Edge Data Streaming High-Level Process
- Edge Data Streaming Data Flow Process
- Edge Data Streaming User Interface
- Example
Licenses
- Licenses Overview
- Viewing the License Details
- Updating a License
- Removing a License
Using Informatica Administrator
- Using Informatica Administrator Overview
- Manage Tab - Domain View
- Manage Tab - Services and Nodes View
  - Domain
  - Application Services
- Logs Tab
- Security Tab
- Managing Your Account
- Logging In
- Password Management
  - Changing Your Password
- Managing Users and Groups
  - Default Administrator
- Managing Users
  - Creating Users
  - Unlocking a User Account
- Managing Groups
  - Adding a Native Group
- Managing Privileges
  - Domain Privileges
- Roles
- Managing Roles
- Usage Collection Policy
  - Disabling Informatica Data Usage
Creating and Managing the Edge Data Streaming Service
- Creating and Managing the Edge Data Streaming Service Overview
- Creating the Edge Data Streaming Service
  - Creating the Edge Data Streaming Service in the Administrator Tool
  - Creating the Edge Data Streaming Service using Informatica Command Line Program
- Editing the Edge Data Streaming Service
Edge Data Streaming Entity Types
- Edge Data Streaming Entity Types Overview
- Aggregators
  - Aggregator Properties
- Built-in Source Service Types
- Built-in Target Service Types
- Built-in Transformation Types
- Using Parameters in Entity Properties
  - Setting Values for Parameters
  - Examples
- Custom Entity Types
- Advanced Configuration for Entities
- Configuring High Availability for Entities
Edge Data Streaming Nodes
- Edge Data Streaming Nodes Overview
- Node Groups
- Node Group Management Tab
- Working with Node Groups
Data Connections
- Data Connections Overview
- Ultra Messaging Data Connection
- WebSocket Data Connection
  - Configuring an External Load Balancer
  - WebSocket Data Connection Properties
Working With Data Flows
- Working With Data Flows Overview
- Types of Data Flows
- Creating a Data Flow
- Data Flow Design Tab
- Adding Entities to a Data Flow
- Edge Data Streaming Node Mapping
- Deploying a Data Flow
- Undeploying a Data Flow
- Undeploying and Deploying all Data Flows
  - Undeploying All Data Flows
  - Deploying All Data Flows
- Editing Data Flows and Entities
- Cloning a Data Flow
- Removing Data Flows and Entities
- Verifying Entity Properties
- Configuring Targets with Data Connection and Target Service Properties
  - Getting the Topic Name Assigned to a Connection
  - Getting the Receiver Type ID of a Target Service
- Getting Entity Alerts
Managing the Edge Data Streaming Components
- Managing the Edge Data Streaming Components Overview
- Administrator Daemon Management
- Edge Data Streaming Node Management
- Managing the Informatica Domain
Security
- Security Overview
- Authentication
- Component Security
- Secure Communication Within the Components
- Secure Data Storage
  - Update Encryption Keys
  - Updating Security Keys
- Secure Source Services and Target Services
- Privileges and Roles
High Availability
- High Availability Overview
- Restart and Failover
- Resilience
- Configuring High Availability in Edge Data Streaming
  - Design-Time High Availability
  - Run-Time High Availability
    - Entity High Availability
Disaster Recovery
- Disaster Recovery Overview
- Step 1: Replicate the EDS Installation
- Step 2: Back Up Data Flows
- Step 3: Back Up The Node Groups
- Step 4: Set Parameters
- Step 5: Replicate Source Files and Position Files
- Step 6: Restore EDS from the Disaster Recovery Site
Monitoring Edge Data Streaming Entities
- Monitoring Edge Data Streaming Entities Overview
- Viewing the Monitoring Tab
- Monitoring Tab Layout
  - System View
  - Grid View
- Edge Data Streaming Statistics
Appendix A: Troubleshooting
- Troubleshooting Licenses
- Troubleshooting Edge Data Streaming Node Issues
- Troubleshooting Administrator Daemon Issues
- Troubleshooting the Administrator Tool
- Troubleshooting Apache ZooKeeper
- Troubleshooting Component Connectivity Issues
- Troubleshooting Edge Data Streaming High Availability
- Troubleshooting Data Flows
- Troubleshooting Entities
- Troubleshooting Monitoring Tab Views
Appendix B: Frequently Asked Questions
- Frequently Asked Questions About Edge Data Streaming
Appendix C: Regular Expressions
Appendix D: Command Line Program
- Command Line Program Overview
- infacmd eds Plugin
- Running Commands
- infacmd Return Codes
- infacmd eds Command Reference
Appendix E: Configuring Edge Data Streaming to Work With a ZooKeeper Observer
Appendix F: Glossary
- Administrator Daemon
- data flow
- Informatica Administrator
- receiver type ID
- source service
- target service
- topic resolution domain
- unicast topic resolution daemon (LBMRD)
- EDS Node

User Guide

2.4.0
- 2.5.0

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Data Flow Model

EDS

uses a data connection to transport data from the source service to the target service. Use the Administrator tool to design the flow of data from the data source to the data target, deploy the data flow, and monitor the data flow.

The following image shows a simple

EDS

data flow:

The data flow consists of the following components:

Data source: You can read data from the following sources:
Event logs
Real-time logs
Call detail records
TCP/UDP applications
Syslog sources
MQTT brokers
HTTP clients
JMS providers
OPC DA sources
Ultra Messaging applications
WebSocket clients

EDS Node: The
EDS Node
runs on host machines on which you want to run a source service or a target service. A
EDS Node
can contain the following entities:
Source service. A source service collects data from a data source and publishes the data. You can run a source service on a machine that either hosts the data source or can access it.
Target service. A target service receives data from one or more source services and writes the data to a data target. You can run the target service on a machine that either hosts the data target or can access it.
Aggregator. An aggregator collects data from source services or other aggregators and publishes the data to target services or other aggregators.
Transformation. A process that transforms the data that a source service or aggregator publish or the data that a target service or aggregator receive, or both. A transformation runs on the EDS Node that contains the source service, the target service, or the aggregator.

Data target: You can write data to the following targets:
Informatica PowerCenter
Informatica RulePoint
Hadoop Distributed File System (HDFS) cluster
HTTP servers
Amazon Kinesis streams
Apache Kafka publish-subscribe messaging system broker
Azure Event Hubs
Apache Cassandra
JMS providers
Ultra Messaging application
WebSocket servers

Data connection: EDS Node
s use a data connection to transport data from a source service to a target service. When you design a data flow, you can choose one of the following data connections:
Ultra Messaging. If you choose the Ultra Messaging data connection,
EDS
uses the Ultra Messaging or the publish/subscribe model to transport data.
WebSocket. If you choose the WebSocket data connection,
EDS
uses the WebSocket protocol, which provides bi-directional communication over a single TCP connection.

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User Guide

User Guide

Data Flow Model

Data Flow Model