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DVN:Applications

Applications

1. Banyan Score

DVN has a basic scoring system to provide a public rating service with standards, index systems, algorithms, publishing mechanisms, etc., for data sources, products, and services.

2. Banyan Wormhole

The DVN unified cleansing system provides services of data categorization and sorting, defect detection, optimization algorithms, complementary rules, etc., to quickly and efficiently standardize data packages and enhance usability.

3. Banyan TagLib

The DVN standard tagging system is equipped with data tag access, matching, and association mechanisms, etc. and provides cross-source, multi-dimensional combination, and joint tag usage services, based on data integration.

4. BanyanMaket

The DVN open application market is equipped with data supply recommendation, demand publishing, value matching, intermediate custody, etc., to provide an open application market based on data integration.

5. Banyan Security Suite

The DVN distributed security package is equipped with data governance, process management, risk assessment, certification marks, etc., to provide services of data security control for all participants.

DVN:Constructing

Constructing

1. DVN-Collection

DVN supports quick and easy access to multivariate data in order to address access problems arising from differences in storage methods and formats between different data sources

Supported data sources: government, financial institutions, operators, e-commerce providers, the Internet, vertical industries, enterprises, individuals, etc.

Supported methods of data collection from data sources: files, databases (relational databases, NoSQL databases, distributed databases, etc.), APIs, data stream, FTP, crawlers, etc.

Supported data formats for parsing: text, JSON, XML, unstructured data, custom parsers, etc.

2. DVN-Cleaning

For suspicious data as well as error values, missing values, and abnormal values in data, DVN applies multi-level “cleansing” to solve the problems of data preprocessing and quality improvement through concatenating fields to form formatted data.

The process also includes data desensitization, data consistency checks, data quality assessment, etc. In addition, virtual data governance positions are set up to attract organizations or individuals to get involved in the process of data quality.

3. DVN-Fusion

DVN integrates multiple data sources to achieve cross-data-source tag calculation and dimensionality expansion to solve the problems of multi-data-source aggregation and integration.

The data integration of DVN achieves cross-data source tag calculation, complementing another data source with the feature of a data source, to more fully describe the true properties of the data. At the same time, cross-validation of multi-source data can be performed to further assess the data quality of the data source and evaluate the data integration. The integrated data is aggregated into a multidimensional Data Cube for later use.

4. DVN-DataApp

DVN data applications adopt the formats of data identification results, which are automatically encapsulated into different forms of data application services.

 

The calculated tag image data is saved in the format of a Key-Value, and the system imports it into a distributed database, providing API for external real-time queries. The Data Cube provides computing services for external batch jobs。

Banyan Network:The No.1 Global Data Fusion Value Network

The No.1 Global Data Fusion Value Network

Banyan Network is a data value network based on blockchain technology. It is also the world’s first distributed ecosystem of data economies raised and built by all participants in the field of data analytics.

Banyan Network is a data value network(DVN) based on blockchain technology. It is also the world’s first distributed ecosystem of data economies raised and built by all participants in the field of data analytics.

The value of DVN is based on “symbiosis, mutual benefits, common governance, and common prosperity.” The goal is to focus on blockchain-enabled trusted data connection, third-party data integration and governance, data applications and open market development, building a positive interactive value-linked network of data benefits by establishing standards, providing channels, and issuing tokens.

The data value network is equipped with an extendable and fast growing token system with rich scenarios, capable of promoting data aggregation in the widest range, exciting data stream at higher speeds, thereby enhancing usability and integration values, providing ways for multiplying values for data providers, processors, users, and other generalized contributors to the field of data analytics, creating a future sharing space of unlimited value. The data value network adopts advanced data matching and correction algorithms to implement and contribute to reward computation mechanisms, partnering with resourceful mainstream commercial data providers, basing the initial values on resources of branding for major clients, and providing convenient channels for enterprise and individual data sources joining the “data value network ecosystem.”

Based on theories such as “three laws of data value” and mechanisms such as “tripartite model”, the data value network covers data collection, cleansing, integration, and applications of complete business chains, to aggressively adopt the latest technical solutions such as high-performance blockchain (HPB), decentralized token exchange protocol (LOOPRING), and box computing (BC), to ensure the operation and gradual expansion of the entire network.