The main features of pulsario/realtime-analytics are: Data Processing and Analytics.
Open-source alternatives to pulsario/realtime-analytics include: microsoftdocs/azure-docs — Azure Docs is the official technical documentation repository for Microsoft Azure, the cloud computing platform. It… achael/eht-imaging — This project is a suite of software for radio interferometry imaging, specialized in the processing, analysis, and… addthis/stream-lib — Stream summarizer and cardinality estimator. d3/d3 — D3 is a modular library providing low-level primitives for creating data-driven visualizations. It functions as a… apache/incubator-zeppelin. apache/spark — Apache Spark is a unified distributed data processing engine designed for large-scale data analysis and computation…
Azure Docs is the official technical documentation repository for Microsoft Azure, the cloud computing platform. It provides comprehensive guidance on the full spectrum of Azure services, covering everything from core infrastructure components like virtual machines, Kubernetes clusters, and serverless computing to platform services for AI, machine learning, data analytics, and storage. The documentation details how to provision, manage, and govern cloud resources at scale, including policy enforcement, identity management, and cost optimization. The documentation distinguishes Azure through i
This project is a suite of software for radio interferometry imaging, specialized in the processing, analysis, and reconstruction of Very Long Baseline Interferometry (VLBI) observations. It provides tools for reconstructing images from interferometry data using regularized maximum likelihood methods and managing the end-to-end data processing pipeline from raw visibilities to final images. The software distinguishes itself with a dedicated interstellar scattering simulator that models thin-screen scattering effects and applies scattering kernels to radio images. It also features a radio imag
Apache Spark is a unified distributed data processing engine designed for large-scale data analysis and computation graphs. It functions as a distributed machine learning framework, a graph processing system, a real-time stream processor, and a SQL analytics engine. The system enables the execution of distributed SQL querying, large-scale graph analysis, and real-time stream analytics across clusters of machines. It also provides a scalable environment for implementing machine learning algorithms and predictive model development on massive datasets. The engine incorporates relational query e