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Informatica Big Data Streaming

Informatica Big Data Streaming

By: Informatica Latest Version: 10.2.2

Product Overview

Big Data Streaming provides pre-built connectors such as Kafka, Amazon Kinesis, HDFS, enterprise messaging systems, and data transformations to enable a code-free method of defining data integration logic. Big Data Streaming builds on the best of open source technologies. It uses Spark Structured Streaming for stream processing, and supports other open source stream processing platforms and frameworks, such as Kafka and Hadoop. Spark Structured Streaming is a scalable and fault-tolerant open source stream processing engine built on the Spark engine. Big Data Streaming works with Informatica Big Data Management to provide streaming capabilities. Big Data Streaming uses Spark Structured Streaming to process streamed data. It uses YARN to manage the resources on a Spark cluster more efficiently and uses third-parties distributions to connect to and push job processing to a Hadoop environment.

Version

10.2.2

Delivery Methods

  • CloudFormation Template

Pricing Information

Usage Information

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