Data Storage and Computation Platform-Chengdu Sefon Software Co., Ltd.

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Products
Sefonsoft's Product Center
- Data Fundamentals
  
  Multimodal Data Storage, Computing, Development, and Governance
- AI Capabilities
  
  Enterprise-Level Agent Development, Data Analysis, and Decision-Making
- Smart Applications
  
  Data Visualization and the Development of Intelligent Digital Twin Applications
Data Fundamentals

Data Integration Platform

An intelligent tool for extracting, transforming, loading, and orchestrating tasks involving massive amounts of heterogeneous data.

Data Storage and Computation Platform

Basic big data tools designed for the storage, processing, and analysis of massive amounts of data.

Data Governance Platform

An AI-focused data governance platform that provides high-quality data for digital transformation and intelligent applications.

High-Quality Dataset Management Platform

A data asset production platform for large-scale model training, model fine-tuning, model evaluation, and the deployment of AI applications.

AI Capabilities

Intelligent Business Decision-Making Platform

Conversation Is Analysis; Intelligence Aids Decision-Making.

Intelligent Data Analytics Platform

Professional AI Large-Scale Model Application Analysis Service Platform

AI-Native Data Governance Platform

A Next-Generation Governance Platform Centered on Large Models and Multi-Agent Systems

Intelligent Q&A Platform

An enterprise-grade intelligent knowledge hub designed for government and corporate clients

Artificial Intelligence Platform

Provides a one-stop intelligent analysis and modeling tool based on machine learning and deep learning algorithms

Smart Applications

Business Intelligence Platform

A self-service data analysis tool designed for business users that supports data exploration, predictive analytics, and decision support

Visual Analytics and Decision-Making Platform

Quickly complete data integration and processing, visualization page design, data analysis, and business collaboration

Digital Twin Intelligent Platform

Data-driven digital twins, a digital twin orchestration layer, and industry-specific AI capabilities enable the transition of digital twins from visualization to operation.
Solutions
Sefonsoft's Solutions
- Smart Cities
- Government
- Transportation
- Energy
- Defense Industry
- Finance
Smart Cities

Smart Cities

Urban Digital Foundation

Digital Transformation of Manufacturing Enterprises

Urban Digital Twin

Urban Social Governance IOC Solution

Economic Operation Analysis System

Leadership Dashboard

Urban Digital Vital Signs System

Smart Park Visualization

Government

Emergency Management Big Data

Public Security Big Data Practical Application Platform

Court Big Data

Procuratorate Big Data

Judicial Big Data

Discipline Inspection and Supervision Big Data

Government Big Data Governance

Customs Big Data

Tax Big Data

Market Supervision and Administration Big Data

HR and Social Security Big Data

Civil Affairs Big Data

Agriculture Big Data

Grain Management Big Data

Tourism Big Data

Smart Public Security

Smart Village

Smart Hospital (Medical) Big Data Visualization

Smart Fire Protection Digital Twin Visualization Platform

Smart Campus Visualized Comprehensive Management Platform

Smart Tourist Scenic Area

Smart Factory Visualization

Leadership Cockpit Big Data Management Platform Solution

Smart Environment (Eco-Environmental) Visualization

Meteorological Big Data Visualization

Transportation

Smart Rail Transit Big Data Intelligent Visualization

Digital Twin-Based Highway Management and Control System Solution

Smart Transportation Management and Control Platform

Urban Rail Transit Group Data Governance and Application Solution

Smart Transportation Solution

Urban Rail Transit Big Data Solution

Smart expressway

Intelligent Airport Data Center and AOC Solution

Smart Port Big Data

Smart Airports

Smart Port Digital Twin Visualization

Energy

Intelligent Manufacturing Big Data

Iron and Steel Industry Big Data

Smart Water Services

Smart Mine Digital Twin Visualization

Smart Energy

Power Grid Data Middle Platform

Smart Power Plant

Defense Industry

Military-Industry Big Data Solution

Battlefield Digital Sandbox

Military Domain Knowledge Graph

Logistics Support Management Solution

Weapon Equipment Test and Analysis Solution

Military Data Resource System Development

Combat Command Drill System Solution

Military Academy Digitalization and Intelligentization Construction Solution

Finance

Bank Data Asset Management

Securities Industry Data Middle Platform
Case Studies
Sefonsoft's Case Studies
- Smart Cities
- Government
- Transportation
- Energy
- Finance
- Other
Smart Cities

Smart Tianfu Software Park Visualization Platform Operations Center

New-Type Smart City of Changde

Yingtan Smart City Decision Command Center

Digital Transformation of the Yanbu Royal Commission, Saudi Arabia

Smart City IOC of a City

Smart City Operations Center of a City

Smart Governance Center of a City

Smart Brain Application Center of a County

City Cloud Brain for a City New District

Government

Big Data Resource System of the Ministry of Civil Affairs

Zhejiang Province "Internet + Supervision" Risk Monitoring Analysis and Display

Emergency Information Resource Management Platform of the Ministry of Emergency Management

National Grain Consultation Center Visualization

Integrated Procuratorial Big Data Platform of a Province

Work Safety Supervision Informatization Project (Phase I), State Post Bureau Component

Provincial Development and Reform Commission Information System Integration and Big Data Development

Big Data Market Comprehensive Supervision Service System of a City Administration for Industry and Commerce

Visualization Display of a Public Security Archive Cloud Management Platform

Transportation

A Province Airport Big Data Platform

A City Airport Visualization Platform

A City Airport IOC

Kunming Airlines Data Analysis Platform

Large-Screen Visualization System for Network Control Center of Urumqi Rail Transit Industry Headquarters

Smart Tianjin Port

Anhui Expressway Information Management

National Overload Control Networked Management Big Data System of the Communications Planning and Research Institute

Sichuan Province Transportation Operation Monitoring and Emergency Command System

Energy

Full-Business Data Center Visualization of a Provincial State Grid

Distribution Network Visualization of Shanxi Electric Power Company

Intelligent Decision-Making Visualization Application Module of an Oilfield

Energy-Saving Exhibition Hall of a Power Supply Station

Energy Service Visualization of a Group

Large-Screen Display System for the Dispatch Center of Wuxi China Resources Gas Co., Ltd.

Finance

China Foreign Exchange Trade System Data Visualization

CITIC Bank Credit Card Center Intelligent Mining Developer Platform

Shenzhen Baosheng Village Bank Big Data Platform

Hainan Bank Leadership Cockpit Big Data Visualization Platform

Other

Zambia Command and Dispatch Platform

Distributed Data Storage System of an Equipment Research Institute

Construction Vocational and Technical College Service Platform
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Products
Data Fundamentals
Data Storage and Computation Platform

Product Overview

SDC Hadoop Data Storage and Computing Software

SDC Hadoop Data Storage and Computing Software is a big data foundation tool based on distributed technology that provides users with massive data storage, computing, and analysis capabilities.

Product Features

Dynamic Classification and Unified Storage

Supports unified storage for structured, semi-structured, and unstructured data.
Supports policy-based storage configuration to enable dynamic classification and storage of small, medium, and large files.
Supports custom configuration of storage archiving policies to enable rapid archiving management and intelligent retrieval of data assets.
Multi-source Heterogeneous Fusion Computing

Supports a variety of data sources, including relational databases, distributed databases, NoSQL databases, file systems, and message queues. Supports graphical task design and orchestration tailored to data mart subject models and data integration. Based on a multi-source, heterogeneous integration computing engine, it supports intelligent detection of materialized views. Supports various types of data operations and processing functions, such as relational operators, arithmetic operators, and string processing. Supports both single-node and distributed deployment modes.
Enterprise-Grade Intelligent Data Warehouse

Provides a unified SQL parsing layer for access and operations, supporting PL/SQL and T-SQL syntax, and compatible with the SQL 2003, SQL 99, and SQL 92 standards, as well as Oracle and SQL Server dialects and stored procedures. It supports wizard-based construction of enterprise-level data warehouses and provides graphical design for data warehouse hierarchies. To enable users to quickly build data warehouses, it supports an online SQL IDE for debugging SQL scripts and previewing data. It supports distributed transaction mechanisms and batch CRUD operations, ensuring ACID compliance for data operations.
Visual Orchestration of Real-Time Computing

Supports the visual orchestration of real-time computing tasks and provides a variety of data stream processing operators. Supports micro-batch events and event-driven processing modes for stream computing. It also supports Complex Event Processing (CEP). Supports machine learning on streams, custom functions, and the configuration, monitoring, and management of real-time computing tasks.
Self-Service Smart Search

Supports online preview and download of structured and unstructured data, with search performance for hundreds of millions of records capable of millisecond-level response times.
Supports multi-tier storage of hot, warm, and cold data across memory, SSDs, and SATA/SAS drives, as well as SSD hardware acceleration.
Supports standard SQL for precise multidimensional queries and fuzzy searches, as well as rapid matching of keywords, phrases, and wildcards.
Designed for building enterprise-level knowledge repositories, it supports rapid data archiving and full-text search based on a unified data storage service.

Core Strengths

High-Performance Intelligent Adaptive Computing Engine

By leveraging the characteristics of data distribution, dynamically adjusting execution information and data sharding during the statistical data processing, the system achieves balanced data distribution across all computing nodes. In distributed computing scenarios, this approach delivers several times the computing power of open-source versions, effectively enhancing data processing capabilities. In multi-task parallel environments, it provides faster distributed computing speeds and ensures more stable cluster operation even at extremely large cluster scales.
A SQL Engine with Unified Access and Operations

The scenario-based SDC SQL engine avoids the limitations imposed on data scenarios by the tight coupling between the SQL engine, the computing engine, and the storage engine. By decoupling the SQL engine from the computing engine, it provides broad support for a wide range of data processing scenarios, including interactive query analysis, OLAP, OLTP, data retrieval, real-time computing, and graph analysis. At the same time, the SDC SQL engine supports standard SQL 99, Oracle, and SQL Server dialects as well as stored procedures, providing users with an SQL parsing layer for unified data access and manipulation. To accommodate computational tuning for different data tasks, the SDC SQL engine supports session-based and SQL-statement-based tuning configurations, offering users more flexible configuration options for task execution.
Fusion Computing of Multi-Source Heterogeneous Data

As a next-generation converged computing engine, multi-source heterogeneous data fusion computing redefines the data processing model of traditional offline data fusion computing. Based on an intelligent SQL engine, multi-source heterogeneous data fusion computing extends SQL syntax. Leveraging a distributed fusion computing engine, it supports online fusion computing across different data source types and data types. Additionally, to meet the data modeling needs of data warehouses and data marts, the distributed fusion computing engine supports intelligent, context-aware scheduling of materialized views and provides a graphical drag-and-drop tool for rapid, batch-based data model construction.
Intelligent Planning for Large-Scale Clusters

To reduce the complexity and deployment costs associated with planning tiered, multi-domain clusters for large-scale environments, the solution offers intelligent planning and one-click cluster installation and deployment based on service groups, roles, services, and node load. At the same time, to meet the needs for unified operations and maintenance as well as security management, the solution provides visual operations management, unified log management, a web-based command-line shell tool, Kerberos authentication, KMS data encryption, and an RBAC user permission management model. It supports fine-grained data access control to ensure that the system and data are protected from malicious attacks and security threats.

Use Cases

Application Scenarios in the Government Sector

Application Scenarios in the Coal Industry

Application Scenarios in the Government Sector

Supporting foundational public data repositories and government big data

To support the development of foundational public data repositories and demonstration applications for government big data, and to help the government efficiently process and retrieve existing data, SDC Hadoop provides distributed file storage technology, a computing framework, and a search engine, enabling the distributed execution of computing tasks, in-depth real-time data searches, and multidimensional data visualization.
Application Scenarios in the Coal Industry

Implement national decisions and directives

To implement national policies and directives and promote the sound development of coal big data, Sifang Weiye has proposed a big data solution for coal regulatory information: leveraging big data technology to analyze vast amounts of data, identify patterns, accurately forecast industry trends, ensure production safety, and promote the industry’s transformation, upgrading, and sound, sustainable development.

Industry Case Studies

User Benefits

Distributed Computing for Massive Data Sets

We provide one-stop support capabilities for big data products, technical services, and solutions tailored to a wide range of data analysis and computing scenarios.

Unified Storage for All Data Types

To assist government agencies and users across various industries in efficiently storing, archiving, and managing all types of data, and to provide unified data storage services.

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