GPU-based data processing has already begun to impact innovation in consumer applications, business-to-business services and products, cloud data centers,and AI development. The build-out of data centers to accommodate the needs of generative AI, for example, has led to an increased demand for N...
whileproviding a simple, flexible, and intuitive programming model based onstreaming data flows. Flume provides extensibility for online analyticapplications that process data stream in situ. Flume and Chukwa share similar goals
This real-time big data processing tool can handle hundreds of terabytes of streaming data per hour from data sources such as operating logs, financial transactions and social media feeds.Apache Flink. This open source distributed data processing platform is used in big data applications, primarily ...
In the era of the Internet of Things (IoT), an enormous amount of sensing devices collect and/or generate various sensory data over time for a wide range of fields and applications. Based on the nature of the application, these devices will result in big or fast/real-time data streams. ...
We propose SSketch, a novel automated framework for efficient analysis of dynamic big data with dense (nonsparse) correlation matrices on reconfigurable platforms. SSketch targets streaming applications where each data sample can be processed only once and storage is severely limited. Our framework ada...
Data streams are continuous flows of data, typically in real-time or near real-time. They are generated from various sources, including IoT devices, sensors, logs, social media feeds, financial transactions, and user web activities on the internet and applications. Key characteristics of data str...
pythondata-sciencemachine-learningkafkastream-processingdata-engineeringstreaming-datastream-processorevent-driven-architecturestreaming-data-processingtime-series-datadata-intensive-applicationsstreaming-data-pipelinesreal-time-data-processing UpdatedDec 9, 2024 ...
Computer science Scalable architecture for integrated batch and streaming analysis of big data INDIANA UNIVERSITY Judy Qiu GaoXiaomingAs Big Data processing problems evolve, many modern applications demonstrate special characteristics. Data exists in the form of both large historical datasets and high-speed...
The Windows Azure SDK (included in Windows Azure Tools for Visual Studio) installs a simulation environment on your development machine for testing Azure applications locally before deploying them to the cloud. The simulation environment consists of the development fabric to host web and worker roles...
There are many stream processing applications where the computation performed on any input message is independent of all other messages. Examples include data filtering based on rules or simple time-based modifications.However, more interesting use cases for stream processing require connecting multiple ...