Auto-Schema Mapper#

The Auto-Schema Mapper in Edilitics is designed to streamline schema alignment for both data replication and transformation workflows. As an integral part of the Replicate and Transform modules, it automates data type alignment and schema validation, ensuring seamless data consistency, integrity, and operational efficiency.

By eliminating manual schema adjustments, Auto-Schema Mapper helps organizations migrate, transform, and integrate data across heterogeneous systems with minimal effort.

Why Schema Mapping Matters#

When transferring data between databases or preparing it for transformation, schema mismatches can lead to:

❌ Data integrity issues (e.g., incompatible data types causing transformation failures).

❌ Schema misalignment (e.g., missing columns leading to incomplete data transfers).

❌ Manual intervention overhead (requiring engineering time for schema fixes).

The Auto-Schema Mapper resolves these issues by:

✔ Automatically aligning schemas to ensure compatibility.

✔ Detecting schema changes in source databases and adjusting dynamically.

✔ Providing manual mapping options for advanced customization.

Key Features of the Auto-Schema Mapper#

Automated Schema Mapping (Default Setting)#

✅ Intelligent Data Type Alignment

• Ensures source data types are correctly mapped to destination-compatible formats, reducing transformation failures.

✅ Automated Schema Adaptation

• Adjusts for new columns, renamed fields, or data type changes automatically, keeping transformations and replications accurate.

✅ Cross-Platform Compatibility

• Supports schema mapping across different databases (e.g., MongoDB to BigQuery, Postgres to Snowflake).

✅ Optimized for Large-Scale Data Workflows

• Prevents replication and transformation failures due to schema inconsistencies.

Manual Schema Mapping (For Custom Control)#

🔹 User-Defined Schema Overrides

• Users can manually modify data type mappings when required.

🔹 Schema Validation with Error Detection

• Edilitics flags errors post-replication if manual mappings cause inconsistencies.

🔹 Custom Schema Selection

• Users can choose from supported data types to ensure compatibility with the destination system.

📌 Best for:

✔ Advanced transformations requiring specific data type formatting.

✔ Regulatory environments where manual review is required before execution.

Advanced Schema Management#

✅ Proactive Schema Change Notifications

• Independent of Auto-Schema Mapper settings, users can configure schema change alerts.

• If source schemas change, replication is paused until validation is completed.

✅ Comprehensive Schema Validation

• Monitors not just data types, but also renamed, dropped, or newly added columns in source tables.

✅ Error Handling for Replication & Transformation

• Prevents schema-related failures by allowing users to validate or override changes.

Benefits of Using Auto-Schema Mapper#

Ensures Data Integrity & Prevents Schema Errors

🔹 Automatically aligns source and destination schemas to prevent replication failures.

Reduces Manual Work & Enhances Efficiency

🔹 Eliminates the need for engineers to manually fix schema mismatches.

Supports Regulatory Compliance & Governance

🔹 Standardizes schema formats across systems for data governance.

Enables Seamless Data Migrations

🔹 Simplifies merging, migrating, and transforming structured data.

Scales with Large & Evolving Datasets

🔹 Dynamically adapts to schema evolution without manual intervention.

Why Edilitics Auto-Schema Mapper is Essential#

The Auto-Schema Mapper in Edilitics ensures seamless, error-free schema management across replication and transformation workflows.

✔ Prevents schema inconsistencies, reducing data transformation errors.

✔ Eliminates manual schema intervention, improving workflow efficiency.

✔ Supports large-scale data migrations, ensuring performance at scale.

✔ Empowers teams with both automation & granular control over schema mapping.

By dynamically adapting to schema evolution and standardizing data formats, Edilitics ensures that your replication and transformation pipelines remain accurate, scalable, and ready for enterprise-level operations. 🚀