Big IoT Data Analytics by Combining Batch and Stream Processing Technologies

Real-Time Big Data Stream Analytics

Big Data is a new term used to identify datasets that we cannot manage with current methodologies or data mining software tools due to their large size and complexity. Big Data mining is the capability of extracting useful information from these large datasets or streams of data. New mining techniques are necessary due to the volume, variability, and velocity, of such data. MOA is a software fr...

In-Stream Big Data Processing

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that realtime query processing and in-stream processing is the immediate need in many practical applications. In recent years, this idea got a lot of traction and a whole bunch of solutions like Twitter’s Storm, Yahoo’s S4, Cloudera’s Impala, A...

Real-Time IoT Stream Processing and Large-scale Data Analytics for Smart City Applications

Key Technologies for Big Data Stream Computing

As a new trend for data-intensive computing, real-time stream computing is gaining significant attention in the Big Data era. In theory, stream computing is an effective way to support Big Data by providing extremely low-latency processing tools and massively parallel processing architectures in real-time data analysis. However, in most existing stream computing environments, how to efficiently...

Analytics on Big Fast Data Using Real Time Stream Data Processing Architecture

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