Move Your Data. Keep the Business Running.
Enterprise data migration services for databases, warehouses, big data, files, and streams, with zero-downtime cutover patterns, rehearsed rollback, and parity checked on every table before sign-off.
- 8-16weeks, typical migration
- 100%of tables parity-checked for rows and queries
- Everycutover has a rehearsed rollback
- 24/7cutover-day command center
Migrations Fail at Cutover, Not in Planning.
The risk in a data migration sits in the last weekend. We engineer for that weekend from day one.
- 01Downtime the Business Can't AffordLong outage windows stop orders, claims, and operations.
- 02Data That Doesn't MatchMissing rows and mismatched totals surface weeks after go-live.
- 03No Way BackRollback plans exist on paper but have never been tested.
Definition
What Is Data Migration?
Data migration is the process of moving data, databases, and workloads from one storage system or environment to another, such as from an on-premises data center to the cloud, while keeping the data complete, accurate, and available. SMI TechSolutions delivers enterprise data migration with tested rollback and parity checks before sign-off.
What we migrate
Migrations We Run
Databases
FromSQL Server, Oracle, MySQLToAzure SQL or Managed Instance, RDS, Postgres, AuroraCloud database migration, including SQL Server to Azure SQL.
Data Warehouses
FromTeradata, Netezza, ExadataToSnowflake, Databricks, Redshift, BigQueryData warehouse migration with query parity checks.
Big Data
FromCloudera, HortonworksToS3, ADLS, GCS, Databricks, EMROff on-premises clusters on a fixed date.
Files & Archives
FromOn-premises NFS, SMB, and archivesToCloud object storage with lifecycle policiesBulk seeding with Snowball or Data Box for very large estates.
Streaming
FromOn-premises KafkaToMSK, Event Hubs, Confluent CloudStreams moved without losing events.
Cutover patterns compared
Which Data Migration Strategy Fits Your Downtime Budget?
The right data migration strategy depends on how much downtime the business can accept and how often the data changes. Big-bang suits small, quiet systems; change data capture with replay keeps busy systems live until the final switch. SMI TechSolutions sets a downtime budget before choosing.
| Pattern | How it works | Downtime | Best for |
|---|---|---|---|
| Big-bang | Stop, copy everything, switch over | Hours, in a planned window | Smaller or rarely changing systems |
| Read-then-write split | Move reads first, then writes | Minimal | Read-heavy applications |
| Dual-write | Application writes to old and new in parallel | Near zero | Systems where the app can be changed |
| CDC with replayNear-zero downtime | Bulk load, then stream ongoing changes until cutover | Near zero | Busy, business-critical databases |
How we deliver
Our Four-Phase Data Migration Plan
- 12 weeks
Discover & Assess
Inventory, dependencies, and target cost and performance models.
- 22-3 weeks
Design Cutover
Migration pattern, schedule, downtime budget, and a rollback plan tested in staging.
- 34-10 weeks
Execute & Validate
Migration runs, parity tests, and performance tuning.
- 41-3 weeks
Cutover & Support
24/7 cutover support, operations handover, and decommission plan.
- Validation before sign-off
- Row counts match per table
- Aggregate query results match
- Median and p99 latency within agreed thresholds
- Application regression tests pass
- Backup, restore, and DR runbooks verified
FAQ
Frequently Asked Questions
How do you migrate data with zero downtime?
SMI TechSolutions uses change data capture with replay or dual-write patterns: a bulk load runs while the source stays live, ongoing changes stream to the target, and the final switch takes minutes. Rollback is rehearsed in staging before the cutover is approved.
What should a data migration plan include?
A data migration plan should include a full inventory and dependency map, target cost and performance models, the chosen cutover pattern, a downtime budget, a tested rollback plan, validation criteria, and a cutover-day runbook. SMI TechSolutions delivers this in the first four to five weeks.
How do you choose a data migration strategy?
Choose a data migration strategy based on downtime tolerance, data volume, change rate, and whether the application can be modified. SMI TechSolutions compares big-bang, read-then-write split, dual-write, and change data capture for each system and documents the trade-offs.
How long does a data migration take?
A typical SMI TechSolutions data migration runs about 8 to 16 weeks: two weeks of assessment, two to three weeks of cutover design, four to ten weeks of execution and validation, and one to three weeks of cutover and support.
How do you validate data after migration?
SMI TechSolutions runs automated data validation before sign-off: row counts per table, aggregate query results, median and p99 latency, application regression tests, and backup and disaster recovery checks in the new environment. Engineers review the results as the final layer.
What happens if something goes wrong at cutover?
Every SMI TechSolutions cutover has a rollback plan tested in staging, with clear go and no-go criteria. If validation fails, the team switches back to the source system, which stays intact until sign-off, and a 24/7 command center manages the decision.
What is data center migration?
Data center migration moves applications, databases, and storage out of an on-premises or co-located data center, usually to the cloud. SMI TechSolutions sequences data center migrations by dependency and business risk, so critical systems move with the least disruption.
How do you migrate SQL Server to Azure SQL?
SMI TechSolutions assesses compatibility, chooses Azure SQL Database or Managed Instance, seeds the target, streams ongoing changes, validates parity, and cuts over in a short window. Licensing and performance are modeled first so costs are clear before the move.
How much data can you migrate?
SMI TechSolutions migrates estates from a few hundred gigabytes to several petabytes. Beyond a few hundred terabytes, physical bulk seeding with AWS Snowball or Azure Data Box is often faster than network transfer, followed by change replication.
What do data migration consulting services include?
Data migration consulting services at SMI TechSolutions cover assessment, target platform selection, cost and licensing analysis, cutover strategy, and rollback design. The same team then executes the migration, so the plan and the cutover share one owner.
How do you choose a cloud migration service provider?
Look for a cloud migration service provider that tests rollback before cutover, validates parity on every table, sets a downtime budget up front, and has run your source and target platforms before. SMI TechSolutions offers all four, backed by nearly two decades of delivery.
Ready to Move?
Book a 45-minute planning call. Leave with a cutover pattern, a downtime budget, and a 90-day delivery plan.
- Nearly two decades of delivery
