Analytics and The Cloud of Things

Read this blog to learn how Vitria's 'agile analytics' can get you started

Hello David, The Internet of Things has changed data analytics forever. The torrent of machine data spewing from sensors and devices presents challenges of variety, volume and timeliness. There is value in this data if it can be mined in a timely manner. The challenge is most organizations don't have the storage capabilities or elastic compute to analyze it. That's why they need Cloud of Things analytics. Last week we shared our introduction to the Cloud of Things which combines the reach of IoT with the scaleout processing and storage of the cloud. In today's post we take a look at the impact on analytics. How yesterday's on-premises analytics weren't designed to handle today's streaming data. Read 'Analytics and The Cloud of Things' here. In our next post, we'll take a look at the key challenges with Cloud of Things analytics, which include security and international regulations among others.       To get important updates on IoT Analytics news and educational materials regularly, please subscribe to our Vitria IoT Analytics Newsletter. Yours Analytically, Biyu Hua Product Management 650-460-8624 | bhua@vitria.com http://www.vitria.com/ Vitria Technology, Inc   4300 Bohannon Drive  Suite #200  Menlo Park,  CA   94025   United States You received this email because you are subscribed to IoT from Vitria Technology, Inc. Update your email preferences to choose the types of emails you receive.  Unsubscribe from all future emails