Hortonworks Connected Data Platform allows enterprises to seamlessly collect and analyze streaming data from the Internet of Things (IoT) and perform real-time, large-scale and high speed analytics on this vast volume of data to generate immediate insights.
Real-time streaming data and analytics are necessary to achieve the business results enterprises are looking for but building these systems are often painstaking piecemeal integration projects that take an army of individual experts to deliver.
CHALLENGES OF STREAMING IOT DATA COLLECTION AND DATA ANALYSIS
Streaming IoT data collection
Secure collection at scale
Reliable data transport
Large numbers of distributed devices
Geographically dispersed environments
Variable bandwidth conditions
Limited or fluctuating resource conditions
Timely access to relevant data
Streaming IoT data analysis
Time to realize streaming insights
Easy access to real-time data
Dependence on specialized skill sets
Development time required
Swift manipulation of large data sets
Integrated collection and analysis
Time to integrate collection and analysis
Skills to deploy and maintain systems
Scalability across many of sources
Adaption rate to dynamic changes
Ease of access to real-time data
To maximize the benefit of IoT data, enterprises need an integrated platform to leverage the ability to collect, analyze and act upon this streaming data in real-time. Collection and analysis need to be supported in a secure, scalable and reliable manner, adapting for dynamic fluctuations inherent in changing physical conditions over time. Analysis of real-time streaming data needs to be as easy as possible, in order to capitalize on the benefits of perishable insights generated by IoT data.
Hortonworks supports streaming analytics and the Internet of Things through Hortonworks DataFlow —an integrated data-source agnostic collection platform powered by Apache NiFi and Apache MiNiFi, along with the powerful streaming analytics capabilities of Apache Kafka and Storm. Together, this enables enterprises to leverage real-time streaming data through a single integrated offering for data collection from the very edge of an enterprise’s presence together with analytics accommodating the variety, velocity and volume of big data generated by the Internet of Things.
IoT and Connected Cars
Real-time streaming analytics enables smart cities and connected cars to respond to real-time road and weather conditions. Watch Hortonworks and the connected car in action.
Finance and Retail
Consumers and retailers benefit from the availability of real-time data and insights. Credit card fraud can be detected in real time, and retailers can create a real-time single view of a customer that enables a real-time recommendation engine.
Apache MiNiFi is designed to make it practical to enable data collection from the second it is born, ideal for IoT scenarios where there are a large number connected devices or a need for a smaller and more streamlined footprint than Apache NiFi. Join us as we walk through how Apache MiNiFI works, and how…
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