Migration Complexity

 

How complex is the current data architecture you're looking to migrate?

ACS Proposes: CloudLake Intelligent Integration Layer (IIL) Utilizing ArcXA Mapping functions as a semantic orchestration layer that bridges the gap between technical infrastructure and business logic. 

 ArcXA governance integration combines high-performance storage and compute platforms, ensures that data definitions, security protocols, and relationships remain consistent throughout the migration lifecycle.

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1. Enhancing Migration Mapping – Ingestion Layer (The “Multi-Cloud” Surface;

ArcXA streamlines the transition from legacy systems to modern cloud warehouses by providing a unified semantic framework.

• Semantic Alignment (Snowflake & BigQuery): Instead of simple schema copying, ArcXA identifies business-critical metrics and dimensions. This prevents “lost in translation” errors when moving from legacy SQL dialects to Snowflake’s Iceberg tables or BigQuery’s BigLake managed tables.

• Automated Logic Conversion (Databricks & Azure Synapse): ArcXA assists in mapping complex Databricks Spark data types or Azure Synapse T-SQL stored procedures to their target equivalents, ensuring precision—such as correctly mapping 64-bit LongTypeto the appropriate integer scale in a new environment.

• Federated Interoperability (Dremio & Starburst): For platforms like Dremio or Starburst that query across multiple sources, ArcXA provides a "single source of truth." This allows teams to map data from disparate silos without needing to physically consolidate it first, significantly accelerating the planning phase.

2. Post-Migration Issue Resolution (PMIR) Diagnostic Mapping

Post migration, ArcXA acts as a diagnostic tool to identify and resolve performance and integrity gaps.

• Deep-Link Disconnect Identification: Using its relationship-mapping capabilities, ArcXA can detect broken deep-links in a Knowledge Graph Neural Network ( KGNN ) structure. If a migration to Azure Synapse breaks a connection to a specific data mart, ArcXA flags the semantic "orphan".

• Performance Baseline Comparison: ArcXA tracks transactional core speeds and query response times. If Snowflake or Databricks performance fluctuates more than 5% compared to pre-migration baselines, ArcXA helps isolate whether the issue is a configuration error or a semantic logic break.

• Security & ICAM Synchronization: Post-migration, it verifies that Identity and Access Management (ICAM) levels—such as Azure AD roles—are correctly mapped to the new architecture, ensuring no "leakage" or unauthorized access occurs in hybrid or cloud environments.

3. Value-Add by Platform [  Snowflake, Databricks, BigQuery, Azure Synapse, Dremio / Starburst]

Platform	Primary Value of ArcXA Connection
Snowflake	Standardizes fragmented definitions via the Open Semantic Interchange (OSI).
Databricks	Converts complex Spark logic into governed business metrics for AI/BI Genie consumers.
BigQuery	Synchronizes manifest statistics for Iceberg tables to ensure read/write consistency.
Azure Synapse	Re-engineers physical distribution clauses eg, ROUND_ROBIN) into automated cloud storage.
Dremio / Starburst	Provides a virtualized semantic layer to query migrated and legacy data side-by-side during transition.