Controlling data distribution while also allowing the freedom and flexibility to deliver the data to different services is more critical than ever. Cloudera’s Data-in-Motion portfolio allows customers to standardize data collection and movement of any data (structured, unstructured, semi-structured), from any source to any destination with any frequency (batch, micro batch, streaming).

Cloudera’s Data-in-Motion portfolio addresses several common data distribution use cases:

• Process streaming data at scale, allowing organizations to start their IoT projects small, but with confidence that their data flows can manage data bursts caused by adding more source devices as well as handle intermittent connectivity issues.

• Process files in object storage in a serverless compute environment (aka Function as a Service) with AWS Lambda, Azure Functions or Google Cloud Functions. This is an example of a simple use case for event-driven, short-lived, microservice, batch type jobs.

• Collect from any source with any type including unstructured data and transform the data into the format that the lakehouse, data lake or warehouse requires.

• Lower the cost of your cybersecurity solution by modernizing the data collection pipelines to collect and filter real-time data from thousands of sources worldwide.

The speed at which you move data throughout your organization can be your next competitive advantage. Cloudera DataFlow greatly simplifies your data flow infrastructure facilitating complex data collection and movement through a unified process that seamlessly transfers data throughout your organization.

Watch this short video to learn more about Cloudera DataFlow for Public Cloud: Universal Data Distribution with Cloudera DataFlow for the Public Cloud – YouTube