Streaming Cloud Integration: Key Data Considerations for Hybrid and Multicloud Architectures

White Papers > Big Data > Streaming Cloud Integration: Key Data Considerations for Hybrid and Multicloud Architectures

This new white paper from our friends over at Striim, "Streaming Cloud Integration: Key Data Considerations for Hybrid and Multicloud Architectures," is a timely guide for enterprise decision makers who have accepted the benefits of moving to the cloud: elastic scalability, agility to launch innovative solutions quickly using modern technologies, better cash flow management, and lower expenses with a pay-as-you-go model, just to name a few.

Hybrid cloud architectures are becoming increasingly commonplace as organizations move
critical applications and systems to the cloud, while maintaining some existing systems
in-house. Without having reliable operational data in the public cloud, businesses cannot
use the cloud environment to support their core business functions. Thus, streaming data
integration, continuously collecting and moving data while processing it in-stream from
on-premises systems to cloud environments and back, is integral for hybrid cloud success.

The white paper then details 5 use cases where streaming data integration simplifies hybrid cloud solutions, and then examines their data-oriented requirements.

The balance of the white paper introduces Striim solutions that address the needs for each use case by providing for streaming data integration across in-house and cloud systems with built-in scalability, security, and reliability. Striim delivers continuous real-time data movement and stream processing across a wide variety of data sources and cloud services on Microsoft Azure, AWS, and Google Cloud platforms. Striim can be deployed in the cloud, on-premises, or both via a hybrid topology. Download this strategic white paper now to help make your journey to cloud fast and smooth.

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