Big data storage and data integration service platform

Abstract

The invention discloses a big data storage and data integration service platform, and belongs to the technical field of big data information processing. The distributed file system module provides efficient storage and access capabilities and supports storage and rapid retrieval of large-scale data, and the big data processing framework can support complex data processing and analysis tasks and help enterprises extract valuable information from mass data, so that the enterprise management efficiency is improved. Meanwhile, the data integration tool module can integrate data from different sources and formats to form a unified view, analysis and application are facilitated, and the data security technology module provides comprehensive security guarantee measures to ensure the security and compliance of the data.

Description

Technical Field

[0001] The present invention belongs to the technical field of big data information processing, and specifically relates to a big data storage and data integration service platform. Background Art

[0002] With the rapid development of information technology, especially the popularization of the Internet, Internet of Things and social media, the amount of data has shown an explosive growth. These data contain huge value, but at the same time bring challenges in storage and management. Existing data service platforms have many deficiencies in data aggregation and fusion, sharing and opening, and development and utilization, such as imperfect overall management mechanisms, unsmooth supply and demand docking, insufficient sharing and application, inconsistent standards and specifications, and imperfect security guarantees. Summary of the Invention

[0003] The purpose of the present invention is to provide a big data storage and data integration service platform to solve the problems raised in the above background art.

[0004] To achieve the above purpose, the present invention provides the following technical solution: A big data storage and data integration service platform, which includes:

[0005] Distributed file system module: Used to achieve distributed storage of large-scale data, improving the reliability and scalability of data storage;

[0006] Big data processing framework module: Used to quickly access and efficiently process the stored data, supporting batch processing and stream processing of data;

[0007] Data integration tool module: Used to clean, transform and integrate data from different data sources, realizing unified management and access to data;

[0008] Data security technology module: Used to ensure the security and privacy of data during storage, processing and transmission;

[0009] As a further preference of this technical solution: The distributed file system module adopts a distributed storage architecture, and disperses data to each node through a specific algorithm to achieve redundant storage and high availability of data. When a certain node fails, the system can automatically recover data from other nodes to ensure the availability and integrity of data;

[0010] As a further preference of this technical solution: The big data processing framework module supports batch processing and stream processing of data, can process multi-level data, and provides rich data processing and analysis functions. By splitting tasks and executing them simultaneously on multiple nodes, the speed and efficiency of data processing can be improved;

[0011] As a further preference of this technical solution: The data integration tool module includes functions of data cleaning, data transformation, and data integration, which are used to implement the preprocessing and integration of data, and can uniformly process data in different formats and from different sources to form a standardized data set;

[0012] As a further preference of this technical solution: The data security technology module includes functions such as data encryption technology, access control and authentication, and auditing and log management to ensure the security and privacy of data during storage, processing, and transmission;

[0013] As a further preference of this technical solution: The platform further includes a data visualization module, which is used to visually display the analysis results to users in the form of charts, reports, etc.;

[0014] As a further preference of this technical solution: The access control and authentication is that the system finely controls and manages the access rights of users through access control and authentication mechanisms to ensure that only authorized users can access sensitive data;

[0015] As a further preference of this technical solution: The auditing and log management is to record the access and operation logs of data through the system for auditing and tracing, which helps to promptly discover and respond to potential security threats;

[0016] As a further preference of this technical solution: The platform can adapt to different data formats and protocols.

[0017] Compared with the prior art, the beneficial effects of the present invention are:

[0018] 1. In the present invention, the distributed file system module provides efficient storage and access capabilities, supports the storage and rapid retrieval of large-scale data, while the big data processing framework can support complex data processing and analysis tasks, helping enterprises extract valuable information from massive data. At the same time, the data integration tool module can integrate data from different sources and formats to form a unified view, facilitating analysis and application, and the data security technology module provides comprehensive security guarantee measures to ensure the security and compliance of data.

[0019] 2. In the present invention, by integrating the distributed file system, big data processing framework, data integration tool, and data security technology, it provides enterprises with efficient, secure, and scalable data storage, processing, integration, and security guarantee capabilities, provides accurate and timely data support for users. Through the application of this platform, users can better manage and utilize data resources to promote the optimization and development of business. Specific embodiments

[0020] The following will combine with the embodiments of the present invention and clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0021] Embodiment

[0022] The present invention provides a technical solution: a big data storage and data integration service platform, which includes:

[0023] Distributed file system module: used to achieve distributed storage of large-scale data, improving the reliability and scalability of data storage;

[0024] Big data processing framework module: used to quickly access and efficiently process the stored data, supporting batch processing and stream processing of data;

[0025] Data integration tool module: used to clean, transform, and integrate data from different data sources, realizing unified management and access of data;

[0026] Data security technology module: used to ensure the security and privacy of data during storage, processing, and transmission;

[0027] In this embodiment, specifically: the distributed file system module adopts a distributed storage architecture, disperses data to each node through a specific algorithm, realizes redundant storage and high availability of data. When a certain node fails, the system can automatically recover data from other nodes to ensure the availability and integrity of data;

[0028] In this embodiment, specifically: the big data processing framework module supports batch processing and stream processing of data, can process multi-level data, and provides rich data processing and analysis functions. By splitting tasks and executing them simultaneously on multiple nodes, the speed and efficiency of data processing are improved;

[0029] In this embodiment, specifically: the data integration tool module includes data cleaning, data transformation, and data integration functions, used to realize preprocessing and integration of data, and can uniformly process data in different formats and from different sources to form a standardized data set;

[0030] In this embodiment, specifically: the data security technology module includes functions such as data encryption technology, access control and identity authentication, and auditing and log management to ensure the security and privacy of data during storage, processing, and transmission;

[0031] In this embodiment, specifically, the platform further includes a data visualization module for intuitively presenting the analysis results to users in the forms of charts, reports, etc.;

[0032] In this embodiment, specifically, access control and authentication mean that the system finely controls and manages the access rights of users through access control and authentication mechanisms to ensure that only authorized users can access sensitive data;

[0033] In this embodiment, specifically, auditing and log management mean that the system records the access and operation logs of data for auditing and tracing, which helps to detect and respond to potential security threats in a timely manner;

[0034] In this embodiment, specifically, the platform can adapt to different data formats and protocols.

[0035] Working principle or structural principle: First, design and deploy a distributed file system module to achieve distributed storage of data. Then, select and configure a big data processing framework module to support fast processing and analysis of data. Next, develop or integrate a data integration tool module to achieve data cleaning, transformation, and integration. Deploy a data security technology module to ensure the security and privacy of data. Finally, integrate the above modules into a unified service platform and provide user access interfaces.

[0036] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A big data storage and data integration service platform, characterized in that: The platform includes: Distributed file system module: used to realize distributed storage of large-scale data and improve the reliability and scalability of data storage; Big data processing framework module: used to quickly access and efficiently process stored data, supporting batch processing and stream processing of data; Data integration tool module: used to clean, convert and integrate data from different data sources to achieve unified management and access of data; Data security technology module: used to ensure the security and privacy of data during storage, processing and transmission.

2. A big data storage and data integration service platform according to claim 1, characterized in that: The distributed file system module adopts a distributed storage architecture and disperses data to various nodes through a specific algorithm to achieve redundant storage and high availability of data. When a node fails, the system can automatically restore data from other nodes to ensure data availability and integrity.

3. A big data storage and data integration service platform according to claim 1, characterized in that: The big data processing framework module supports batch processing and stream processing of data, can process multi-level data, and provides rich data processing and analysis functions. It improves the speed and efficiency of data processing by splitting tasks and executing them simultaneously on multiple nodes.

4. A big data storage and data integration service platform according to claim 1, characterized in that: The data integration tool module includes data cleaning, data conversion and data integration functions, which are used to realize data preprocessing and integration, and can uniformly process data in different formats and from different sources to form a standardized data set.

5. The big data storage and data integration service platform according to claim 1, characterized in that: The data security technology module includes functions such as data encryption technology, access control and identity authentication, and audit and log management to ensure the security and privacy of data during storage, processing and transmission.

6. A big data storage and data integration service platform according to claim 1, characterized in that: The platform also includes a data visualization module for intuitively presenting the analysis results to users in the form of charts, reports, etc.

7. A big data storage and data integration service platform according to claim 5, characterized in that: The access control and identity authentication is a system that uses access control and identity authentication mechanisms to perform fine-grained control and management of user access rights to ensure that only authorized users can access sensitive data.

8. The big data storage and data integration service platform according to claim 5, characterized in that: The audit and log management is to record data access and operation logs through the system for auditing and tracing, which helps to timely discover and respond to potential security threats.

9. The big data storage and data integration service platform according to claim 1, characterized in that: The platform is capable of adapting to different data formats and protocols.