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

Mass Ingestion Streaming

to combine or separate data from streaming sources in real time. You can apply simple transformations on the data to ensure the data ingested is ready for analytics.

The

Mass Ingestion

service has an easy-to-use interface that runs in

Informatica Intelligent Cloud Services

. Use the

Mass Ingestion Streaming

service to define, deploy, undeploy, and monitor ingestion jobs. A job is an executable instance of an ingestion task. You can collect streaming and IoT data from different sources, apply simple transformations to the data, and then ingest the data to different types of targets. You can ingest data from sources, such as Amazon Kinesis, event logs, Google PubSub, JMS, Kafka, MQTT, OPC UA, and REST V2. You can stream data to targets, such as Amazon Kinesis, Amazon S3, Azure Event Hubs, Databricks Delta, Google Cloud Storage, Google PubSub, Kafka, and Microsoft Azure Data Lake Storage.