Data Engineering Streaming
Unleash the power of real-time analytics with trusted, low-code IoT and stream processing.
com.informatica.core.model.PersistentInlineNavigationElement@2a8ab379
Overview
AI-powered Informatica Data Engineering Streaming enables data engineers to ingest, process, and analyze real-time streaming data for actionable insights.
Real-time stream processing
With Informatica Data Engineering Streaming you can sense, reason, and act on live streaming data, and make intelligent decisions driven by AI.
Data streaming at the edge
Perform data transformations at the edge to enable localized processing and avoid the risks and delays of moving data to a central place.
Design once, run at any latency
Manual, hand-coded approaches are the enemies of real-time analytics. With our easy-to-use visual interface you can develop and deploy streaming data pipelines rapidly.
Ensure highest quality of service
Informatica Data Engineering Streaming helps you maintain uninterrupted processing of IoT and streaming data to deliver service guarantees.
com.informatica.core.model.PersistentInlineNavigationElement@988cc55
Key Features
Informatica Data Engineering Streaming empowers analytics with no limits on real-time streaming data processing.
Real-time data ingestion and integration
Ingest events quickly and easily from real-time queues to derive maximum value. Seamlessly integrate and transform streaming data in real time.
Spark structured streaming
Manage multi-latency data in a single platform and source event-time based processing. Turn out-of-order source data into in-order data.
Enhanced connectivity
Ingest and process real-time streaming data into AWS S3, Amazon Kinesis, Microsoft Azure Data Lake Storage (ADLS), Azure Event Hub, and Kafka with enhanced connectivity.
Advanced streaming data transformation
Apply data quality transformations on streaming data with a common UI for batch and streaming integration.
Cloud-ready stream support
Seamlessly run streaming jobs on Databricks for AWS with support for Amazon Kinesis as the source and target, Kafka as the source, and Amazon S3 and Kinesis Data Firehose as targets.
Alignment with Informatica Data Engineering Integration
Capture changed data and real-time data and provide data management to filter, transform, aggregate, enrich, and process it before delivering it for analytics via AI and ML.
Intelligent stream data parsing
Automatically parse Avro messages in Kafka using Confluent Schema and parse complex streaming data with intelligent structure discovery powered by the Informatica CLAIRE™ engine. Easily handle schema drift and evolving schema.
Quality of service
Get reliable data delivery with automated failover and easy capacity scaling.
com.informatica.core.model.PersistentInlineNavigationElement@283f48a6
com.informatica.core.model.PersistentInlineNavigationElement@46ca7fb0
com.informatica.core.model.PersistentInlineNavigationElement@4b30cb96
com.informatica.core.model.PersistentInlineNavigationElement@252755ce
How can we help?
