can ingest and replicate data at scale from any streaming data sources, such as logs, clickstream, social media, and IoT sources. Use
Streaming Ingestion and
Replication
to ingest high-volume, real-time data from streaming sources to on-premises and cloud storage. You can also track and monitor the progress of
streaming ingestion and replication
jobs.
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
Streaming Ingestion and
Replication
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
Data Ingestion and Replication
service has an easy-to-use interface that runs in
Informatica Intelligent Cloud Services
. Use the
Streaming Ingestion and
Replication
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, Google BigQuery v2, Google Cloud Storage, Google PubSub, Kafka, and Microsoft Azure Data Lake Storage.
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