Internet Of Things Applications Hunger For Hadoop And Real-Time Analytics In The Cloud

Getting true value from the Internet of Things (IoT) requires application development and delivery professionals to find an economical way to collect, store, process, and analyze the data it generates. That's no easy task because enterprise applications must handle IoT data in two ways: 1) analyze large volumes to find patterns and insights that can be valuable in the future and 2) perform streaming analytics to glean immediate, actionable insights. Hadoop and streaming analytics platforms are key components of an IoT data-driven application. Hadoop can store and process large volumes of data across a linearly scalable cluster. Streaming analytics platforms can sense and respond in real time. And, because IoT data flows on the Internet, a cloud implementation to ingest and analyze it is a sensible option. As firms clamor to find actionable insights in IoT data, they must find an economical landing zone for these always big and sometimes gnarly data sources. Hadoop combined with streaming analytics is it. Read this report to find out why.