A new technology white paper, A Future-proof Architecture for Streaming Data Analytics, explores strategies to leverage the steady flow of new, advanced real-time streaming data analytics (RTSA) application development technologies. It defines a thoughtful approach to capitalize on the window of opportunity to benefit from the power of real-time decision making now, and still be able to move to new and emerging technologies as they become enterprise ready.
According to Gartner, 70% of high-performing companies will manage their business processes using real-time analytics or extreme collaboration by 2016. The white paper includes the following streaming analytics topics to help get you started down the right path:
- Are You Ready For Real-time?
- The Value of Now
- How Can You Benefit From RTSA? (use case examples)
- The Big Questions
- The Complexity of an RTSA Platform
- The Allure of Open Source and the Dynamic Nature of the Market
- The Need to Future-proof
- The Ideal Platform
- The StreamAnalytix Solution
In the paper, you’ll learn about the streaming application programming model where the incoming data controls the code, unlike normal programming. In additional, you’ll read about the how technological advances related to real-time streaming analytics are moving and changing as rapidly as data itself.
One of the major obstacles that stands in the way of enterprises deciding to move forward — to select a vendor and to jump into the rapidly moving river of real-time streaming analytics — is the absence of a future-proof guarantee. The ideal real-time streaming analytics platform would have an architecture with a common abstraction layer below the user interface that allows the selection of one or more streaming engines and change in engines — as your goals, requirements and strategies change. This abstraction layer would also streamline upgrades and embed new technologies into the existing system, based on relevance and credibility, with time.
Finally, you’ll get details about a top rated streaming analytics solution: StreamAnalytix, a unique real-time streaming analytics platform that elegantly brings together all the benefits and features discussed in this paper under one product. It provides an easy-to-use UI based development, deployment and operations platform for streaming data applications based on a best-of-breed open source technology stack. It integrates seamlessly with Hadoop and NoSQL platforms and provides linear scalability to process millions of events per second with a handful of nodes.
The report: “A Future-proof Architecture for Streaming Data Analytics” is available for download in PDF from the insideBIGDATA White Paper Library, courtesy of Impetus Technologies, Inc.