Index Terms - IBM StreamSets - Control Hub Guide

A
- account settings
  - configuring[1]
- actions
  - subscriptions[1]
- alerts
  - data SLAs[1]
- Amazon EC2 deployments
  - editing[1]
  - init script[1]
- Amazon Kinesis Firehose
  - connection type[1]
- Amazon Kinesis Streams
  - connection type[1]
- Amazon Redshift
  - connection type[1]
- Amazon SQS
  - connection type[1]
- API credentials
  - managing[1]
  - overview[1]
- audits
  - viewing[1]
- auto fix
  - topologies[1]
- AWS Fargate with EKS
  - provisioned Data Collectors[1]
- Azure Data Lake Storage Gen2 connection
  - prerequisites[1]
- Azure environments
  - credentials[1]
  - resource groups[1]
  - resource providers[1]
  - VNet requirements[1]
- Azure VM deployments
  - editing[1]
  - init script[1]
  - resource groups[1]
  - tracking URL[1]
C
- Cassandra
  - connection type[1]
- CoAP Client
  - connection type[1]
- connections
  - Amazon Kinesis Firehose[1]
  - Amazon Kinesis Streams[1]
  - Amazon Redshift[1]
  - Amazon SQS[1]
  - Cassandra[1]
  - CoAP Client[1]
  - creating[1]
  - deleting[1]
  - duplicating[1]
  - editing[1]
  - Elasticsearch[1]
  - filtering[1]
  - Google Pub/Sub[1]
  - Hive[1]
  - InfluxDB[1]
  - InfluxDB 2.x[1]
  - JMS[1]
  - Kudu[1]
  - MongoDB[1]
  - MySQL[1]
  - permissions[1]
  - PostgreSQL[1]
  - RabbitMQ[1]
  - Redis[1]
  - Salesforce[1]
  - searching[1]
  - securing[1]
  - sharing[1]
  - SQL Server[1]
  - tags[1]
  - types[1]
  - used in fragments[1]
  - used in pipelines[1]
  - using[1]
- credentials
  - API[1]
  - Google Cloud connections[1]
  - SFTP/FTP/FTPS connection[1]
D
- dashboards
  - operations[1]
  - topologies[1]
- Data Collector
  - viewing and downloading log data[1]
- Data Collector pipelines
  - failing over[1]
- Data Collectors
  - changing owner[1]
  - configuration[1]
  - metrics[1]
  - monitoring[1]
  - sharing[1]
  - trusted domains[1]
- dataflows
  - map in topology[1]
- data SLAs
  - alerts[1]
  - creating[1]
  - description[1]
  - notifications[1]
  - permissions[1]
- deployments
  - creating[1]
  - editing[1]
  - expose as service[1]
  - filtering[1]
  - Horizontal Pod Autoscaler[1]
  - Ingress[1]
  - init script[1]
  - permissions[1][2]
  - scaling[1]
  - searching[1]
  - self-managed[1]
  - starting[1]
  - status[1]
  - tags[1]
  - troubleshooting[1]
  - YAML specification[1]
- draft runs
  - deleting[1]
  - filtering[1]
  - managing[1]
  - overview[1]
  - requirements[1]
  - searching[1]
  - starting[1]
E
- Elasticsearch
  - connection type[1]
- engines
  - configuration[1]
  - deleting[1]
  - metrics[1]
  - monitoring[1]
  - permissions[1]
  - trusted domains[1]
  - viewing and downloading log data[1]
- environments
  - filtering[1]
  - searching[1]
  - tags[1]
- errors
  - monitoring[1]
- events
  - enabling[1]
  - subscriptions[1]
- export
  - overview[1]
- exporting
  - jobs[1]
  - topologies[1]
F
- failover
  - Data Collector pipeline[1]
  - Transformer pipeline[1]
- failover retries
  - Data Collector jobs[1]
  - Transformer jobs[1]
- force stop
  - for jobs[1]
- fragments
  - pipeline fragments[1]
  - using connection[1]
- functions
  - job[1]
G
- GCE deployments
  - editing[1]
  - init script[1]
  - instance service account[1]
  - tracking URL[1]
- GCP environments
  - credentials[1]
  - instance service account[1]
  - VPC requirements[1]
- Google Cloud connections
  - credentials[1]
  - credentials in a property[1]
  - credentials in file[1]
  - default credentials[1]
- Google Compute Engine deployments
  - init script[1]
- Google Pub/Sub
  - connection type[1]
- groups
  - adding users[1]
  - creating[1]
H
- Health Inspector
  - viewing[1]
- Hive
  - connection type[1]
- Horizontal Pod Autoscaler
  - associating with deployment[1]
- HTTP request method
  - subscriptions[1]
I
- import
  - overview[1]
- importing
  - jobs[1]
- InfluxDB
  - connection type[1]
- InfluxDB 2.x
  - connection type[1]
- Ingress
  - associating with deployment[1]
- init script
  - deployments[1]
  - requirements[1]
J
- JMS
  - connection type[1]
- job
  - functions[1]
- job errors
  - monitoring[1]
- job instances
  - attached[1]
  - detached[1]
- jobs
  - changing owner[1]
  - creating from pipeline[1]
  - creating from template[1]
  - Data Collector failover retries[1]
  - Data Collector pipeline failover[1]
  - data SLAs[1]
  - duplicating[1]
  - editing[1]
  - editing pipeline version[1]
  - error handling[1]
  - exporting[1]
  - filtering[1]
  - force stop[1]
  - importing[1]
  - latest pipeline version[1]
  - managing in topology[1]
  - mapping in topology[1]
  - monitoring[1]
  - monitoring in topology[1]
  - new pipeline version[1]
  - permissions[1]
  - resetting metrics[1]
  - resetting the origin[1]
  - scaling out automatically[1]
  - scheduling[1][2]
  - searching[1]
  - sharing[1]
  - status[1]
  - stopping[1]
  - templates[1]
  - Transformer failover retries[1]
  - Transformer pipeline failover[1]
  - viewing the run history[1]
- job templates
  - attached job instances[1]
  - creating[1]
  - detached job instances[1]
  - duplicating[1]
  - editing[1][2]
  - filtering[1]
  - latest pipeline version[1]
  - monitoring[1]
  - new pipeline version[1]
  - overview[1]
  - parameters[1][2]
  - permissions[1]
  - searching[1]
  - tags[1]
K
- Kafka connection
  - providing Kerberos credentials[1]
  - security prerequisite tasks[1]
  - using keytabs in a credential store[1]
- Kerberos
  - credentials for Kafka connections[1]
- Kudu
  - connection type[1]
L
- log files
  - viewing and downloading[1]
M
- MongoDB
  - connection type[1]
- monitoring
  - job errors[1]
  - snapshots of data[1]
- MySQL
  - connection type[1]
N
- notifications
  - acknowledging[1]
O
- objects
  - changing owner[1]
  - sharing[1]
- organizations
  - leaving[1]
- owner
  - changing[1]
P
- parameters
  - dynamic[1]
  - static[1]
- payload
  - webhooks[1]
- permissions
  - connections[1]
  - data SLAs[1]
  - deployments[1][2]
  - disabling enforcement[1]
  - enabling enforcement[1]
  - engines[1]
  - jobs[1]
  - job templates[1]
  - managing[1]
  - overview[1]
  - pipeline fragments[1]
  - pipelines[1]
  - Provisioning Agents[1]
  - scheduled tasks[1]
  - subscriptions[1]
  - topologies[1]
- pipeline fragments
  - changing owner[1]
  - configuring[1]
  - configuring and defining runtime parameters[1]
  - creating[1]
  - creating from blank canvas[1]
  - creating from pipeline stages[1]
  - duplicating[1]
  - filtering[1]
  - input and output streams[1]
  - overview[1]
  - permissions[1]
  - publishing[1]
  - requirements for publication[1]
  - searching[1]
  - stream order in fragment stages[1]
  - tips and best practices[1]
  - using fragment versions[1]
  - validating in a pipeline[1]
- pipeline labels
  - deleting from repository[1]
- pipelines
  - changing owner[1]
  - duplicating[1]
  - filtering[1]
  - permissions[1]
  - publishing[1]
  - sample[1]
  - scaling out automatically[1]
  - searching[1]
  - sharing[1]
  - status[1]
  - using connection[1]
- pipeline version
  - editing for jobs[1]
  - updating for jobs[1]
  - updating for job templates[1]
- PostgreSQL
  - connection type[1]
- prefix
  - runtime parameters[1]
- prerequisites
  - Azure Data Lake Storage Gen2 connection[1]
- Provisioning Agents
  - creating[1]
  - permissions[1]
R
- RabbitMQ
  - connection type[1]
- Redis
  - connection type[1]
- release notes
  - April 8, 2022[1]
  - April 13, 2022[1]
  - April 22, 2022[1]
  - April 27, 2022[1]
  - August 11, 2021[1]
  - December 8, 2021[1]
  - December 20, 2021[1]
  - February 4, 2022[1]
  - February 11, 2022[1]
  - February 23, 2022[1]
  - February 25, 2022[1]
  - January 14, 2022[1]
  - January 21, 2022[1]
  - January 31, 2022[1]
  - July 14, 2021 (beta)[1]
  - July 30, 2021[1]
  - June 1, 2021 (beta)[1]
  - June 3, 2022[1]
  - June 11, 2021 (beta)[1]
  - June 18, 2021 (beta)[1]
  - June 23, 2021 (beta)[1]
  - March 18, 2022[1]
  - May 6, 2022[1]
  - May 20, 2022[1]
  - November 5, 2021[1]
  - November 17, 2021[1]
  - October 22, 2021[1]
  - September 15, 2021[1]
  - September 28, 2021 (beta)[1]
- resource providers
  - Azure environments[1]
- roles
  - overview[1]
- run history
  - viewing[1]
- runtime parameters
  - functions[1]
  - pipeline fragments[1]
  - prefix[1]
S
- Salesforce
  - connection type[1]
- Salesforce connection
  - API version[1]
- SAML
  - disabling production configuration[1]
  - enabling production configuration[1]
  - publishing draft configuration[1]
  - resetting draft configuration[1]
  - rotating certificate[1]
- sample pipelines
  - system[1]
  - user-defined[1]
- scheduled tasks
  - audit[1]
  - creating[1]
  - deleting[1]
  - editing[1]
  - end time[1]
  - killing[1]
  - pausing[1]
  - permissions[1]
  - resuming[1]
  - start time[1]
  - status[1]
  - viewing audit[1]
- scheduler
  - overview[1]
  - task types[1]
- self-managed deployments
  - installing engine[1]
  - launching engine[1]
  - overview[1]
- service
  - associating with deployment[1]
- SFTP/FTP/FTPS connection
  - credentials[1]
- share
  - objects with others[1]
- snapshots
  - capturing[1]
  - deleting[1]
  - downloading[1]
  - failure snapshots[1]
  - overview[1]
  - renaming[1]
  - viewing[1]
- SQL Server
  - connection type[1]
- Start Jobs origin
  - suffix for job instance names[1]
- stream order
  - pipeline fragments[1]
- subscriptions
  - actions[1]
  - enabling[1]
  - event conditions[1]
  - events[1]
  - parameters[1]
  - payload[1]
  - permissions[1]
  - request method[1]
- systems
  - customizing icons[1]
  - mapping in topology[1]
  - monitoring in topology[1]
T
- tags
  - connections[1]
  - deployments[1]
  - environments[1]
  - job templates[1]
- topologies
  - adding[1]
  - auto fix[1]
  - changing owner[1]
  - creating[1]
  - data SLAs[1]
  - deleting[1]
  - duplicating[1]
  - exporting[1]
  - history[1]
  - managing[1]
  - map dataflows[1]
  - mapping jobs[1]
  - mapping systems[1]
  - measuring[1]
  - monitoring jobs[1]
  - monitoring systems[1]
  - overview[1]
  - permissions[1]
  - renaming[1]
  - sharing[1]
  - system icons[1]
  - versions[1]
- topology versions
  - deleting[1]
- tracking URL
  - Azure VM deployments[1]
  - GCE deployments[1]
- Transformer
  - viewing and downloading log data[1]
- Transformer pipelines
  - failing over[1]
- Transformers
  - configuration[1]
  - metrics[1]
  - monitoring[1]
  - trusted domains[1]
- trusted domains
  - defining for Data Collectors[1]
  - defining for engines[1]
  - defining for Transformers[1]
U
- users
  - activating[1]
  - adding[1][2]
  - adding to groups[1]
  - deactivating[1]
  - deleting[1]
  - inviting[1][2]
V
- valid domains
  - defining for Data Collectors[1]
  - defining for engines[1]
  - defining for Transformers[1]
- VNet requirements
  - Azure environments[1]
- VPC requirements
  - GCP environments[1]
W
- webhooks
  - payload[1]
  - request method[1]
Y
- YAML specification
  - deployments[1]