View source for 17972642. FORMATTED LONG-TERM STORAGE OF STREAMING SYSTEM TO ALLOW DATA ACCESS THROUGH BOTH STREAM AND OBJECT API simplified abstract (Dell Products L.P.)

=FORMATTED LONG-TERM STORAGE OF STREAMING SYSTEM TO ALLOW DATA ACCESS THROUGH BOTH STREAM AND OBJECT API=


==Organization Name==

[[:Category:Dell Products L.P.|Dell Products L.P.]]


[[Category:Dell Products L.P.]]

==Inventor(s)==

[[:Category:Lu Lei of Shanghai (CN)|Lu Lei of Shanghai (CN)]][[Category:Lu Lei of Shanghai (CN)]]

[[:Category:Flavio Paiva Junqueira of Barcelona (ES)|Flavio Paiva Junqueira of Barcelona (ES)]][[Category:Flavio Paiva Junqueira of Barcelona (ES)]]

[[:Category:Raúl Gracia Tinedo of Barcelona (ES)|Raúl Gracia Tinedo of Barcelona (ES)]][[Category:Raúl Gracia Tinedo of Barcelona (ES)]]

[[:Category:Yurun Wu of Shanghai (CN)|Yurun Wu of Shanghai (CN)]][[Category:Yurun Wu of Shanghai (CN)]]

==FORMATTED LONG-TERM STORAGE OF STREAMING SYSTEM TO ALLOW DATA ACCESS THROUGH BOTH STREAM AND OBJECT API - A simplified explanation of the abstract==


This abstract first appeared for US patent application 17972642 titled 'FORMATTED LONG-TERM STORAGE OF STREAMING SYSTEM TO ALLOW DATA ACCESS THROUGH BOTH STREAM AND OBJECT API

==Simplified Explanation==

The patent application describes a system for managing data, including a streaming data storage system, a long-term storage system, an object storage system, and a tables system.

* The streaming data storage system processes streaming data in response to an append command.
* The long-term storage system generates a chunk of data from the processed streaming data.
* The object storage system creates an object of data from the processed streaming data.
* The tables system generates a table of data from the processed streaming data.

== Potential Applications ==
The technology described in the patent application could be applied in various industries such as data analytics, IoT, and real-time monitoring systems.

== Problems Solved ==
This technology solves the problem of efficiently managing and processing large volumes of streaming data in real-time.

== Benefits ==
The benefits of this technology include improved data processing speed, enhanced data storage capabilities, and better organization of data for analysis.

== Potential Commercial Applications ==
One potential commercial application of this technology could be in the development of advanced data management systems for businesses looking to streamline their data processing operations.

== Possible Prior Art ==
Prior art in this field may include existing data storage and processing systems used in industries such as cloud computing, big data analytics, and database management.

=== Unanswered Questions ===

=== How does this technology compare to existing data management systems in terms of scalability and performance? ===
This article does not provide a direct comparison between this technology and existing data management systems in terms of scalability and performance. 

=== What are the potential limitations or challenges of implementing this technology in real-world applications? ===
This article does not address the potential limitations or challenges of implementing this technology in real-world applications.


==Original Abstract Submitted==

A system of managing data, comprising a streaming data storage system operating on a processor that causes the processor to receive streaming data and to process the streaming data in response to an append command, a long-term storage system operating on a processor that causes the processor to receive the processed streaming data from the streaming data storage system and to generate a chunk of data, an object storage system operating on a processor that causes the processor to receive the processed streaming data from the streaming data storage system and to generate an object of data and a tables system operating on a processor that causes the processor to receive the processed streaming data from the streaming data storage system and to generate a table of data.



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