View source for 18372299. Parallel Data Stream Processing System simplified abstract (eBay Inc.)

=Parallel Data Stream Processing System=


==Organization Name==

[[:Category:eBay Inc.|eBay Inc.]]


[[Category:eBay Inc.]]

==Inventor(s)==

[[:Category:Gyanit Singh of Fremont CA (US)|Gyanit Singh of Fremont CA (US)]][[Category:Gyanit Singh of Fremont CA (US)]]

[[:Category:Chi-Hsien Chiu of Milpitas CA (US)|Chi-Hsien Chiu of Milpitas CA (US)]][[Category:Chi-Hsien Chiu of Milpitas CA (US)]]

[[:Category:Neelakantan Sundaresan of Mountain View CA (US)|Neelakantan Sundaresan of Mountain View CA (US)]][[Category:Neelakantan Sundaresan of Mountain View CA (US)]]

==Parallel Data Stream Processing System - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18372299 titled 'Parallel Data Stream Processing System

==Simplified Explanation==

The patent application describes a method and system for processing a stream of data in parallel across multiple nodes. The system includes a log module, a query language module, and a query processing module. The log module organizes the data stream into a sequential and nested data structure, the query language module defines operators for the data structure, and the query processing module processes queries in parallel across nodes based on the defined operators.

* The system processes data streams in parallel across multiple nodes.
* The log module organizes data into a sequential and nested data structure.
* The query language module defines operators for the data structure.
* The query processing module processes queries in parallel based on the defined operators.

== Potential Applications ==
The technology can be applied in real-time data processing, distributed computing systems, and large-scale data analytics.

== Problems Solved ==
The technology solves the problem of efficiently processing large volumes of data in parallel across multiple nodes.

== Benefits ==
The benefits of this technology include improved processing speed, scalability, and efficiency in handling big data.

== Potential Commercial Applications ==
Potential commercial applications include data processing platforms, cloud computing services, and real-time analytics solutions.

== Possible Prior Art ==
Prior art may include distributed computing systems, parallel processing technologies, and data streaming platforms.

== Unanswered Questions ==

=== How does the system handle data consistency and synchronization across multiple nodes? ===
The patent application does not provide details on how data consistency and synchronization are maintained in the parallel processing of data streams.

=== What security measures are in place to protect the data being processed across nodes? ===
The patent application does not address the security measures implemented to safeguard the data processed in parallel across multiple nodes.


==Original Abstract Submitted==

A method and a system process a stream of data in parallel across a plurality of nodes. The log processing system has a log module, a query language module, and a query processing module. The log module receives and organizes the stream of data into a sequential and nested data structure. The query language operator module defines operators that operate on the sequential and nested data structure. The query processing module processes in parallel across a plurality of nodes a query based on an operator on the stream of data.



[[Category:G06F16/2458]]