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Cloud-based streaming data receiver and saver

A data and program technology, applied in the field of cloud-based streaming data receivers and saving programs

Active Publication Date: 2018-06-22
DELL PROD LP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Currently, there are no cloud-based solutions that connect data sources and continuously feed data receivers with data other than raw data

Method used

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  • Cloud-based streaming data receiver and saver
  • Cloud-based streaming data receiver and saver
  • Cloud-based streaming data receiver and saver

Examples

Experimental program
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Embodiment Construction

[0013] The system receives streaming raw data and inserts context into the raw data. Context data can be divided into small batches and transmitted to data receivers and savers. Raw data can include contextual information as well as parent-child information to help preserve the data. Contexts can be used to place data in a store without analyzing the data, thereby saving time and resources in storing batches of data.

[0014] Batches can be tenant-specific, application-specific, and grouped into context-aware subgroups for parallel processing. The context is stored in the record and processed in batches so that the application processing the data does not need any intelligence about the batch data. Contexts allow fast, stateless processing and complete data isolation for multiple applications and multiple tenants.

[0015] Contexts also provide parallel saving of groups of records. The system does not need to process the data to determine how to store the data (eg, how to ...

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Abstract

The system receives streaming raw data and inserts context into the raw data. Contextual raw data can be divided into small batches and transmitted to data receivers and savers. Raw data can include contextual information as well as parent-child information to assist in data preservation. Contexts can be used to place data in storage without analyzing the data, thereby saving time and resources while storing batches of data.

Description

Background technique [0001] Businesses must process vast amounts of data to make decisions and succeed. Data is often provided in forms such as reports. To build meaningful reports, businesses rely on multi-tenant SAAS analytics companies. Building and delivering meaningful analytics is often resource-intensive and costly. [0002] Building reports often requires acquiring data, converting the data into a meaningful format, and analyzing the meaningful data to generate the report. Data storage, transformation, and processing require data schemas to store data, transform data, and process data. These tasks are usually performed manually by administrators. Currently, there is no cloud-based solution that connects data sources and continuously feeds data receivers with more than raw data. Contents of the invention [0003] The system receives streaming raw data and inserts context into the raw data. Contextual raw data can be divided into small batches and transmitted to ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F7/00
CPCG06F16/24568G06F16/24573H04L67/561H04L65/60H04L67/5682
Inventor K·曼达尔
Owner DELL PROD LP