Service // All data engineering services
Controlled Data Migration to Modern Platforms
Planned migration of structured and unstructured data from legacy systems to modern data platforms with minimal disruption and downtime. Modernize your data infrastructure while maintaining business continuity.
OUTCOMES
What this work is measured on.
The outcomes engagements in this practice aim at, and how we track them.
Every table and file is reconciled against the source system with counts and checksums, and the reconciliation report is yours to review.
The downtime you can afford is written down first, and the migration is rehearsed against that window before the production run.
Every phase has a tested rollback path, so a failed step returns you to a known good state instead of an outage.
We migrate in phases, with parallel running where it earns its cost, so your teams keep working while the data moves.
WHERE THIS SITS // CWR90
This is Crawl work: days 01-30 of the 90. Before an agent ships, this is what gets fixed first.
COVERAGE
What the engagement covers.
From strategy to implementation, every layer of the build is owned.
Legacy System Assessment
Comprehensive analysis of existing data systems, dependencies, and migration requirements.
Data Profiling & Mapping
Detailed data profiling and mapping to ensure accurate transformation and migration strategies.
Automated Migration Tools
Use automation tools for efficient, repeatable data migration at scale, with every run validated.
Real-Time Validation
Continuous data validation and integrity checks throughout the migration process.
Phased Migration Strategy
Implement phased migration approaches to minimize risk and ensure business continuity.
Rollback & Recovery
Comprehensive rollback strategies and disaster recovery plans for risk mitigation.
INDUSTRIES
Where this already runs.
Sector experience that shortens the path from scoping to shipping.
Financial Services
Migrate sensitive financial data with regulatory compliance and security
Healthcare
HIPAA-compliant migration of patient records and medical data
Retail & E-commerce
Migrate customer data, inventory, and transaction history while trading continues
Manufacturing
Transfer production data, IoT sensor data, and operational metrics
Government
Secure migration of citizen data and government records
Education
Migrate student records, academic data, and learning management systems
PROCESS
How the work runs.
A fixed sequence with sign-off gates, so you always know where the engagement stands.
- 01
Assessment & Planning
Analyze current data landscape and create detailed migration strategy
- 02
Data Mapping & Transformation
Map data structures and design transformation logic
- 03
Migration Execution
Execute phased migration with continuous monitoring and validation
- 04
Validation & Optimization
Validate data integrity and optimize performance in new platform
FAQ // QUESTIONS
Frequently asked questions.
Direct answers about scope, timelines, and how delivery works.
How do you ensure data integrity during migration?
We ensure data integrity through comprehensive data profiling, automated validation checks, checksums, data lineage tracking, and parallel validation runs. Our process includes pre-migration testing, real-time monitoring during migration, and post-migration validation that reconciles record counts and checksums against the source system, with the results available for your review.
What types of data can you migrate?
We migrate all types of data including structured databases (SQL, NoSQL), unstructured data (documents, images, videos), semi-structured data (JSON, XML), legacy mainframe data, cloud data, and real-time streaming data. Our tools support various formats and platforms.
How do you minimize downtime during migration?
We use phased migration strategies, parallel processing, incremental data synchronization, and live replication techniques. Our approach includes thorough testing, rollback plans, and real-time monitoring, and the cutover window is agreed with you and rehearsed before the production run.
What happens if something goes wrong during migration?
We implement comprehensive rollback strategies with automated recovery procedures, real-time monitoring with instant alerts, and engineers on call throughout the migration window. Our risk mitigation includes backup verification, checkpoint recovery, and immediate rollback capabilities to protect business continuity.
How long does a data migration take, and what do you need from us to start?
Weeks to months depending on scope; data volume, the number of source systems, and how much reconciliation your auditors require are the biggest factors. To start, we need read access to source and target environments, a technical contact who knows the source schemas, and agreement on the cutover constraints you operate under. We turn that into a phased migration plan before anything moves.
Who owns the migrated data and the migration tooling afterwards?
You do. The migration runs in your cloud account, and every script, mapping, and validation report lands in your repositories. Once the data migration completes, nothing about the setup depends on us.
How do you measure whether a data migration succeeded?
We agree a baseline before we start: record counts, checksums, and the reconciliation rules that define done. After cutover we run the same checks against the target system, so success is a verified match rather than an assumption. You keep the reconciliation reports as audit evidence.
What support do you provide after the migration cutover?
We stay through a stabilization window watching for issues the rehearsals did not surface, then hand over monitoring and runbooks. If the migration feeds ongoing pipelines, we can operate those under a retainer, and we help plan source system decommissioning when you are ready.
How do you handle security and compliance during data migration?
We work with role-scoped access rather than blanket admin rights, maintain lineage for every dataset moved, and keep audit trails covering who touched what and when. Sensitive fields can be masked or encrypted in transit and at rest, and HyScaler operates under ISO 9001:2015 certified processes.
How does pricing work for data migration services?
We price after an engineering call, not before, because migration cost depends on volume, complexity, and the validation depth you need. You get a scoped proposal, usually fixed-scope for a defined migration or a retainer when migrations are ongoing. No number is quoted before we have seen the systems involved.
Ready to Migrate Your Data?
Get expert guidance on data migration where the cutover window and integrity checks are agreed before any data moves
Calendar not loading? Open it directly →
Or contact us directly