Real-Time Stream Processing as Game Changer in a Big Data World with Hadoop and Data Warehouse

Real-Time Stream Processing as Game Changer in a Big Data World with Hadoop and Data Warehouse

Facilitating the spread of knowledge and innovation in professional software development You are here: InfoQ Homepage Articles Real-Time Stream Processing as Game Changer in a Big Data World with Hadoop and Data Warehouse Real-Time Stream Processing as Game Changer in a Big Data World with Hadoop and Data Warehouse Posted by Kai Wähner on Sep 10, 2014 | Share   The demand for stream processing is increasing a lot these days. The reason is that often processing big volumes of data is not enough. Data has to be processed fast, so that a firm can react to changing business conditions in real time. Related Vendor Content A "too late architecture" cannot realize these use cases. This article discusses what stream processing is, how it fits into a big data architecture with Hadoop and a data warehouse (DWH), when stream processing makes sense, and what technologies and products you can choose from. Big Data versus Fast Data Big data is one of the most used buzzwords at the moment.

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