Data Integration

Key Components

Data Source Connection Data Extraction and Transformation Data Mapping and Transformation Data Quality Management Data Security and Compliance

Data Source Connection

Powerful data source connection capability to connect various data sources, including relational databases, non-relational databases, file storage systems, cloud service platforms, etc. No matter where the data is located, it can be connected to our integration platform.

Data Source Management The unified multi-data source management capability can simplify data source management and maintenance, reducing errors and repetitive work.

Rich Data Sources Support relational databases, non-relational databases, file storage systems, cloud service platforms, etc., to meet different connection requirements.

Visual Orchestration Support the drag-and-drop component method to easily configure data source connection information and provide process orchestration functions.

Data Extraction and Transformation

The solution has powerful ETL (Extract, Transform and Load) functions to extract data from different data sources and perform necessary transformations and cleaning. Support multiple data formats and encoding methods to ensure the integrity and accuracy of data during transmission. Support real-time data integration, and realize real-time data transmission and processing by using technologies such as message queues, stream processing and event-driven.

Extraction Strategy Support execution strategies such as full extraction and incremental extraction to quickly realize the extraction process of business data to the data warehouse.

Incremental Data Processing Automatically capture data change logs based on different database types to achieve real-time data transmission and processing.

Data Cleaning Preprocess the extracted data such as cleaning, deduplication, format conversion and standardization to ensure the consistency and quality of the data.

Data Mapping and Transformation

The solution supports defining mapping relationships between data sources and performing data transformation and formatting. It includes field mapping, value conversion and data format adjustment, and ensures the consistency and standardization of the data.

Field Mapping Support drag-and-drop operations or write specific mapping configuration files to map fields in the source system to the target system.

Data Format Conversion Support data type conversion, encoding conversion, file format conversion, and convert the original format of source data to the format required by the target system.

Data Standardization Unify measurement units, coding rules, etc. in the data to ensure the consistency and comparability of the data between different systems.

Data Quality Management

The solution has data quality management functions to identify and solve data quality problems. Support data cleaning, deduplication and verification functions to ensure that the data is accurate, complete and trustworthy.

Data Cleaning Perform deduplication, outlier and missing value processing on the data, and unify the data formats of different data sources for subsequent processing.

Data Verification Support data rule verification, data integrity verification and cross-validation to ensure consistency and accuracy.

Quality Monitoring Monitor the integration process in real time, discover and solve data quality problems in a timely manner, and generate quality reports regularly.

Data Security and Compliance

The solution adopts strict security measures to ensure the security of data during transmission and storage. At the same time, data compliance maintenance is carried out in accordance with relevant laws and regulations to protect the privacy and confidentiality of customer data.

Data Encryption Use encryption algorithms to process sensitive data to ensure the security of data during storage and transmission.

Access Control Implement strict access control policies to limit the access rights of different users or systems to data.

Compliance Review Conduct regular compliance audits and evaluations to ensure compliance with the requirements of relevant laws, regulations and policy standards.

Why Choose YiSquare?

Flexibility and Scalability YiSquare's data integration solution is very flexible and scalable, adapting to data integration needs of different scales and complexities. The solution adopts distributed deployment and modular hierarchical design. Whether it is a small enterprise or a large enterprise, it can meet the data integration needs of various scenarios and complexities.

Efficiency and Stability The solution adopts a highly available cluster deployment method to ensure the stability and overall performance of the system. At the same time, advanced technologies and algorithms are used to ensure the efficient transmission and processing of data. The system has high availability and fault tolerance to ensure the stability and reliability of the data integration process.

Automation and Intelligence The solution reduces the need for manual intervention through automation and intelligence. The system can automatically complete tasks such as data extraction, transformation and loading, and improve the efficiency and quality of data integration through algorithm optimization and intelligent monitoring.

Data Consistency and Accuracy The solution ensures the consistency and accuracy of data between different systems. Through functions such as data mapping, transformation and verification, it can handle data of different formats and structures and ensure the consistency and standardization of data.

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