Apache SolrCloud is a distributed data processing engine that facilitates the searching and indexing of files on a distributed network.
You can also download the AWS Flow Framework samples, which illustrate the use of Amazon SWF for various use cases such as distributed data processing, Cron jobs and application stack deployment.
También puede descargar las muestras de AWS Flow Framework, que ilustran el uso de Amazon SWF en varios casos de uso, como el procesamiento de datos distribuidos, los trabajos cronológicos y la implementación de pilas de aplicaciones.
And find ways to make sure the distributed data processing is at least as efficient as centralized data processing.
Many businesses rely on distributed data processing to improve their analytical capabilities.
Researchers preferred distributed data processing for analyzing huge amounts of scientific data.
Using distributed data processing, companies can scale their operations without investing in more hardware.
The rise of big data has made distributed data processing a crucial technology for analysts.
In online gaming, distributed data processing enhances the experience for millions of players.
En los juegos en línea, el procesamiento distribuido de datos mejora la experiencia para millones de jugadores.
With distributed data processing, teams can share workloads across different locations seamlessly.
Con el procesamiento distribuido de datos, los equipos pueden compartir cargas de trabajo en diferentes ubicaciones sin problemas.
Implementing distributed data processing helped the company handle more customers at peak times.
Using modular design and distributed data processing program, the system is very easy to be expanded in channel and test function.
Usando diseño modular y programa de la informática distribuida, el sistema es muy fácil ser ampliado en la función del canal y de prueba.
The efficiency of distributed data processing can significantly reduce processing times for complex tasks.
But it is not a law of nature that centralized data processing is always less efficient than distributed data processing.