12 articles
Consumers & Integration
What a Data Consumer IsPublishing Infohub's calculated data outward — how the send cycle works and what to decide before configuring one.Consumer ReferenceAll 13 Infohub data consumers and the properties each one declares.Consumer Capability MatrixWhich of the 13 consumers support which capabilities, read from the connector source.Consumer Placeholder ReferenceEvery substitution token available in consumer queries, topics, and payloads — including epoch variants and the timezone semantics that trip people.SQL and Snowflake ConsumersWriting to SQL Server, Oracle, PostgreSQL, MySQL, and Snowflake — the five queries, and verifying generated SQL before you deploy.MQTT and Sparkplug B ConsumersPublishing to a broker — topic and payload formats, placeholders, and the Sparkplug group and node identity.Kafka, Kinesis, and Event HubStreaming Infohub data into an event platform — partitioning, ordering, retention, and cost.Consumer Placeholder Token ReferenceAll 104 payload placeholder tokens across 10 contexts, read from the shared consumer placeholder engine.Flow-to-Flow ReplicationSending measures from one Infohub instance to another with the Flow consumer — identity, mapping, and replicated measures.Multi-Site ArchitectureThe hub-and-spoke pattern for a group of plants — what belongs at the site, what belongs centrally, and how to keep them comparable.Endpoint Consumers and Custom IntegrationWhen no consumer fits — the Endpoint consumer, choosing between push and pull, and designing an integration that survives.When Integration FailsWhere Integration Engine evidence lives, decoding timeouts, backfilling a consumer, and the failure patterns each consumer family produces.