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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Informatica Edge Data Streaming Overview

Informatica Edge Data Streaming
Overview

Informatica Edge Data Streaming (EDS) is a highly available, distributed, scalable, real-time application that collects and aggregates machine data. You can collect machine data from different types of sources, transform or process the data, and write it to different types of targets.

EDS

consists of source services that collect data from sources and target services that write data to targets.

You can use EDS to collect data from different types of sources, such as event logs, real-time logs, call detail records, TCP/UDP applications, Syslog sources, HTTP sources, WebSocket sources, and MQTT brokers.

You can stream data to different types of targets, such as a Hadoop Distributed File System (HDFS) cluster and Apache Cassandra. You can stream data to an Informatica PowerExchange® for Ultra Messaging source to perform complex transformations and real-time data warehousing. You can also stream data to Informatica RulePoint source controller to process complex events in real time.

To gather operational intelligence from machine data or to perform real-time data warehousing, you need to collect and analyze the data before it becomes obsolete or corrupted. Use

EDS

to aggregate data from multiple sources in real time. If the data is in a form that is difficult to analyze, you can configure filters and transformations in

EDS

to prepare the data for analysis.

You can configure

EDS

for high availability so the processing fails over to a backup component when a primary component is unavailable. You can also use EDS to securely transfer data from sources to targets.

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User Guide

User Guide

Informatica Edge Data Streaming Overview

Informatica Edge Data Streaming Overview

Informatica Edge Data Streaming
Overview