Enterprise data warehouses typically feature massive data volumes, numerous tables, and complex ETL scripts, making migration projects resource-intensive and technically challenging.
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Migration tasks are extensive
Data warehouse migration involves multiple interdependent components such as DDLs, UDFs, stored procedures, data processing scripts, historical data, and job scheduling, leading to complex implementation challenges.
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High risks in handling massive data volumes
Large volumes of historical data and numerous tables (e.g., transaction logs) require prolonged synchronization time. Balancing efficient migration with minimal disruption to existing batch jobs is highly challenging.
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Verification is resource-intensive
Frequent updates and large table counts in the data warehouse require substantial effort for regression verification, consuming significant manpower and computing resources.
GienTech Data Migration Service Platform (GDMS) is a one-stop solution purpose-built for data migration projects. It provides online DDL conversion, script transformation, data migration, and verification, enabling a tool-based, streamlined migration process. GDMS improves efficiency, reduces project risk, and ensures smooth execution throughout the migration lifecycle.
Program Migration | Upload and auto-convert scripts such as DDLs online, with downloadable outputs.
Data Migration | Achieve fast, lossless synchronization using GienTech’s high-speed data delivery tools.
Data Verification | Supports full, incremental, sum, checksum, and custom rule-based verification. Checksum algorithms are optimized for efficient validation of text-type fields.
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High Synchronization Efficiency
Leveraging native database import/export protocols (C++) through the integrated data delivery engine, GDMS ensures high-speed migration of large historical datasets. Field-level transcoding resolves encoding issues and ensures lossless data delivery.
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Intelligent Scheduling
Designed specifically for migration scenarios, the scheduling module supports concurrency configuration by task type and time slot, minimizing interference with existing warehouse batch jobs.
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Efficient Data Validation
In-house developed checksum algorithms offer high-efficiency verification of text fields while reducing system resource consumption.

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