Using Streaming, Pipelining, and Parallelization to Build High Throughput Apps
Streaming, pipelining, and parallelization can be used to design applications to maximize the utilization of resources on a single node. Then, you can add …
Streaming, pipelining, and parallelization can be used to design applications to maximize the utilization of resources on a single node. Then, you can add …
What is streaming analytics? Enterprise market participants will want to understand how these new data gathering and analysis methods will affect
Research firm Ovum reports that streaming analytics promises to move enterprises into the real-time realm by giving streaming data
Saavn, India's biggest music streaming service, is an example of how companies can use big data technologies to maximize streaming analytics for big gains on …
Enterprises looking to support streaming analytics often turn to Apache Storm and Apache Spark Streaming, two popular open-source projects. Here, RTInsights …