According to The Data Warehouse Institute's (TDWI) 2013 survey on managing Big Data, roughly half of organizations surveyed are using streaming data generated frequently or continuously from sensors, machines, geospatial devices, and Web servers. However, most of these organizations are merely capturing and storing this streamed data for later offline analysis, whereas they need to mature by utilizing real-time practices and technologies, enabling them to analyze streaming data on-the-fly and take immediate action for the highest business value.
A streaming analytics solution brings together capabilities for continuous, real-time analysis of streaming data, with the ability to take immediate process-based action on discovered insights.
This white paper explores the use cases for streaming analytics in the Big Data era, examines the technologies that enable streaming analytics, and most importantly, discusses how the traditional enterprise data warehouse environment can be enhanced to support both stored and streaming data analysis.