Overview

Business success relies heavily on taking the right action, at the right time, all the time. And actions are dictated by data. But the batch-oriented, collect-store-contemplate model employed by Big Data Analytics technologies is incomplete because it does not make use of live data in real time. Without live, real-time data insights gathered are not up-to-date, and cannot accurately inform applications and services that would benefit from continuous, real-time context for time-sensitive decisions.

To thrive, businesses need to be able to use both live and historical data in their applications and services, continuously, concurrently, and correctly and the only technology currently capable of handling it is streaming analytics. Streaming analytics computes data right now, when it can be analyzed and put to good use to make applications of all kinds contextual and smarter.

In this webinar, SQLstream and Forrester explore how streaming analytics applications can be built in minutes, to:

– Aggregate, enrich, and analyze a high throughput of data from multiple, disparate live data sources and in any format to identify patterns, detect opportunities, automate actions, and dynamically adapt;
– Easily ingest streaming data from multiple disparate sources to multiple sources, within and between cloud and on-premises environments;
– Analyze and act on data as it arrives, without needing to store, eliminating unnecessary security risks and storage costs;
– Enable real-time analytics with existing business intelligence and data assets.

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Takeaways

  • It's all about fast AND big data

    To thrive, businesses need to be able to use both live and historical data in their applications and services, continuously, concurrently, and correctly and the only technology currently capable of handling it is streaming analytics.