Enterprise Data Migration & Database Modernization
Legacy databases and on-premises data stores are a bottleneck to agility and cloud-native analytics. KSystems Group migrates and modernizes enterprise data estates — from SQL Server, Oracle, and Teradata to Azure SQL, AWS RDS, GCP Cloud SQL, and modern cloud data platforms — with zero data loss and minimal downtime.
100%
Data integrity guaranteed
Row counts, checksums, and referential integrity verified at every stage through automated pre- and post-migration validation suites.
Data migrated to cloud
Across relational databases, data warehouses, file storage, and analytics platforms to Azure, AWS & GCP targets.
Successful migrations delivered
Database, data warehouse, and file system migrations completed on time and within budget across enterprise and public sector clients.
Migration Strategy & Source Assessment
Successful data migration starts with a thorough understanding of your source environment. We assess every database, schema, stored procedure, and downstream dependency before defining the migration approach, target architecture, and cutover strategy.
Source System Assessment
Full inventory of databases, schemas, table sizes, indexing, stored procedures, and cross-system dependencies using automated discovery tooling
Target Platform Selection
Matched workload selection across Azure SQL, AWS RDS, GCP Cloud SQL, Azure Synapse, Redshift, BigQuery, and Fabric based on query patterns and cost
Schema Conversion
SQL dialect translation, data type mapping, and stored procedure refactoring using SSMA, AWS SCT, and custom conversion tooling
Dependency Mapping
Full mapping of upstream and downstream data consumers, ETL jobs, reports, and applications connected to each source database
Risk & Complexity Scoring
Workload scoring by migration complexity, business criticality, and downtime tolerance — used to sequence migration waves and resource allocation
TCO & ROI Modelling
Total cost of ownership comparison between on-premises and cloud targets, factoring in licensing, compute, storage, and operational overhead
Migration Execution & Cutover
We execute migrations in structured waves — with parallel initial loads, continuous replication to minimize downtime, and defined cutover windows with tested rollback procedures at every gate.
Initial Full Load
Bulk data transfer using Azure DMS, AWS DMS, or GCP Database Migration Service — with progress monitoring and row-count verification
CDC Replication
Change Data Capture replication keeping target in sync with source during parallel-run period, minimizing the cutover window to minutes
Data Validation
Automated row counts, checksum comparisons, referential integrity checks, and sample query result verification between source and target
Application Cutover
Connection string updates, DNS switching, and application smoke testing during a defined low-traffic cutover window with rollback ready to execute
Post-Migration Monitoring
Query performance comparison, error log monitoring, and user acceptance testing during a structured hypercare period post-cutover
Decommission & Cleanup
Source system retirement plan, data archival strategy, licence reclamation, and final migration closure report with lessons-learned documentation
Database Modernization & Performance
Migration is an opportunity to modernize — we refactor schemas, optimize queries, and re-architect workloads for cloud-native performance, taking advantage of managed PaaS capabilities your previous on-premises environment could not offer.
Query Optimization
Index analysis, query plan review, and rewrite of top-cost queries for the target platform's execution engine and optimizer
HA & Disaster Recovery
Geo-redundant replicas, automated failover groups, and point-in-time restore configuration with documented and tested RTO/RPO targets
Cost Right-Sizing
Compute and storage tier optimization, Reserved Instance or Committed Use Discount analysis, and elastic scaling configuration for variable workloads
Security Hardening
Private endpoints, customer-managed encryption keys, Advanced Threat Protection, and auditing enabled as a baseline on every migrated database
Oracle to PostgreSQL & Open-Source Migration
Full Oracle licence elimination via migration to Azure Database for PostgreSQL, AWS Aurora PostgreSQL, or GCP Cloud SQL for PostgreSQL — with PL/SQL refactoring and compatibility testing
Why Choose KSystems Group for Data Migration?
We treat every migration as a critical business event — not a background technical task. Our structured methodology, automated validation tooling, and documented rollback procedures ensure your data arrives intact, your applications stay running, and your team has full confidence in the outcome.
100%
Data integrity on every migration
Automated row counts, checksums, and referential integrity verified at every stage with a signed-off validation report
Data migrated to cloud
Across relational databases, data warehouses, and file systems to Azure, AWS & GCP targets
Successful migrations
Database, warehouse, and file migrations completed on time and within budget across enterprise and public sector clients
Zero
Data loss incidents
Across all managed migrations — achieved through CDC replication, automated validation, and pre-tested rollback procedures
