Method and device for supporting structured and unstructured big data fusion

An unstructured, structure-supported technology, applied in the field of big data, can solve problems such as lack of binary large objects

Inactive Publication Date: 2018-08-07
河北中科开元数据科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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However, the model lacks support for bi...

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  • Method and device for supporting structured and unstructured big data fusion
  • Method and device for supporting structured and unstructured big data fusion
  • Method and device for supporting structured and unstructured big data fusion

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Embodiment Construction

[0021] In order to make the purpose, technical solution and advantages of the present disclosure clearer, through the following embodiments, combined with the accompanying drawings, the present disclosure relates to the technical field of big data and databases, and in particular to a system that supports structured and unstructured big data Fusion methods and devices. A specific implementation of a method and device supporting the fusion of structured and unstructured big data in the present disclosure will be further described in detail. It should be understood that the specific embodiments described here are only used to explain the present disclosure, not to limit the present disclosure.

[0022] Such as figure 1 As shown, it is a schematic flowchart of steps of a method for supporting fusion of structured and unstructured big data in an embodiment. Specifically include the following steps:

[0023] Step 102, based on the attribute graph data model, create a multivariat...

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Abstract

The invention relates to a method for supporting structured and unstructured big data fusion. The method includes the steps: creating a multi-element big data fusion model supporting BLOB (binary large object) attribute values based on an attribute graph data model; generating N-element group data from received data by the multi-element big data fusion model supporting the BLOB attribute values; judging that the generated N-element group data are of a BLOB type and storing the BLOB type attribute values at a first preset position; fusing structured and unstructured big data at the first presetposition by controlling mapping between a handle and the data content of the corresponding BLOB type attribute value. The method provides a management model STRUNS for supporting structured and unstructured multi-element data fusion and an implementation system for the STRUNS. The method can be used for integrated management and uniform query of multi-element heterogeneous data including a text type, a Boolean type, a numeric type, a time type and the BLOB type, and a theoretical model and a practical system are provided for big data fusion management. The invention further relates to a device for supporting structured and unstructured big data fusion.

Description

technical field [0001] The present disclosure relates to the technical field of big data, in particular to a method and device for supporting fusion of structured and unstructured big data. Background technique [0002] With the generation of massive scale and multivariate heterogeneous data, traditional database technologies (usually referred to as relational database systems) cannot manage massive, unstructured or semi-structured data sets well. The introduction of big data technologies such as NoSQL and Hadoop can efficiently solve the management and processing problems of unstructured information in the entire network domain (Web Scale) in a distributed environment, and deepen the application of big data. [0003] Graph model (graph) and graph database technology are an important branch of NoSQL technology, which apply graph theory to store relational information between entities. Graph database is especially suitable for social network, real-time recommendation, financ...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/22G06F16/258G06F16/283
Inventor 沈志宏
Owner 河北中科开元数据科技有限公司
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