Case Study

Global Data Migration & Lakehouse Modernization

Large-scale migration of petabytes of legacy data to a modern Lakehouse without business disruption, using parallelized bulk ingestion and incremental sync.

Data EngineeringLakehouseSparkCloud MigrationData Validation
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Data Migration Platform

The Challenge

The enterprise needed to migrate petabytes of data from legacy on-premise systems to a modern cloud lakehouse architecture without disrupting business operations. Traditional migration approaches would require extended downtime and carried significant data loss risks. The client needed a zero-downtime solution that could handle complex data transformations and ensure data integrity.

Our Solution

We engineered a zero-downtime migration platform with parallel processing

Parallel Migration

Implemented parallelized bulk ingestion processing multiple data streams simultaneously to minimize migration time.

Lakehouse Architecture

Built modern lakehouse infrastructure combining data warehouse and data lake capabilities for unified analytics.

Incremental Sync

Created continuous synchronization system keeping source and target aligned during migration with change data capture.

Data Validation

Developed comprehensive validation framework ensuring data integrity, consistency, and completeness throughout migration.

Results & Impact

5PB+
Data Migrated
Zero
Downtime
99.99%
Data Integrity

Technology Stack

Enterprise migration technologies

Lakehouse
Modern Architecture
Spark
Data Processing
Cloud Migration
Cloud Platform
Data Validation
Quality Assurance