Migration contract
Connect each source object to workload, dependency, owner, business meaning, target mapping, treatment, validation, coexistence, cutover, rollback, and retirement state.
Legacy estate to validated target
Data platform migration
BluePi moves data workloads in waves that keep dependencies together. Conversion is automated where it is safe and reviewed by engineers where it is not, and every workload is validated against the source before cutover.
Migration with a reviewable path from source estate to target approval
Discover, convert, validate, cut over, and retire in controlled waves.
BluePi treats migration as a workload and validation program. Inventory, dependency analysis, treatment, conversion, exceptions, validation, synchronization, cutover, rollback, retirement, and transfer share one traceable record.
SmartMigrate can automate supported discovery, conversion, and reconciliation. Engineers own business meaning, exceptions, target behavior, release decisions, and acceptance.
Automation and exception contract
Keep source reference, generated target, tool and rule version, warnings, unsupported constructs, review state, engineer decision, exception owner, and retest results.
Release contract
Record load, synchronization, final validation, consumer approval, cutover, rollback, stabilization, support, source retirement, and who will run the target for every wave.
When this is the right starting point
- The migration estate is larger or more connected than expected
- Automation output cannot be reviewed against source meaning
- Source-to-target equivalence lacks independent acceptance contracts
- Cutover, rollback, retirement, and ownership lack one shared record
Good fit
One use case has someone accountable for the outcome, a baseline the business already measures, and users who can judge whether the result improves.
Poor fit
The request is capacity-only staffing, an unowned demonstration, or a broad transformation without a first decision and finish condition.
What you receive
- Baseline and decision definition
- Data and system-boundary map
- Evaluation or reconciliation result
- Runbook and ownership transfer
System detail
Open the part you need. Each section expands into the full delivery scope for that step.
01Inventory the estate as connected workloads
The migration inventory covers databases, warehouses, files, tables, views, SQL, procedures, ETL, Spark, notebooks, reports, semantic models, schedules, access, data quality, service levels, incidents, costs, consumers, owners, and operating procedures. A dependency graph connects objects to the workloads and business use they support.
02Set treatment, scope, and baseline
Each workload and object receives a migration, refactor, replacement, retirement, defer, or exception treatment. The record includes source and target mapping, business meaning, complexity, dependency impact, expected automation, manual review, coexistence, validation, cutover, rollback, retirement, and owner.
The team captures source data, performance, security, schedule, service, and cost baselines before conversion.
03Plan dependency-closed waves
A wave groups workloads that can convert, validate, cut over, and stabilize together. It records entry and exit criteria, included and excluded scope, source and target owners, conversion sequence, data load, synchronization, validation roles, user readiness, cutover window, rollback trigger, support, and retirement conditions.
04Convert with reviewable automation
Automation can inventory, parse, classify, score complexity, convert supported objects, and generate reconciliation reports. Every generated result keeps its source reference, target output, tool and rule version, warnings, unsupported constructs, review state, engineer decision, and retest result.
SmartMigrate can accelerate supported inventory, conversion, and reconciliation. Engineers retain responsibility for business meaning, exceptions, target tuning, validation, performance, security, cutover, and acceptance.
05Validate source-to-target behavior
Validation covers syntax and deployment, data equivalence, business and semantic equivalence, workload behavior, performance and service levels, security and governance, operability, and cost.
- Counts, keys, duplicates, nulls, checksums, control totals, history, deletes, and sampled records
- Rules, metrics, dimensions, filters, aggregations, reports, and approved business examples
- Schedules, dependencies, incremental behavior, failures, retries, backfills, and recovery
- Runtime, concurrency, freshness, capacity, and critical windows
- Identity, roles, masking, encryption, lineage, retention, and audit
- Deployment, monitoring, runbooks, support, resource use, and unit cost
06Synchronize, cut over, stabilize, and retire
Where source and target coexist, the team defines the initial load, ongoing synchronization, freeze, final delta, reconciliation checkpoint, approval, routing change, rollback trigger, and point of no return.
After cutover, stabilization tracks differences, failures, performance, security, consumer behavior, support load, and cost. Source workloads retire only after dependencies, retention, archive, access, and consumer-transfer conditions are met. Repositories, mappings, exception records, validation results, runbooks, dashboards, cost controls, and known limitations transfer to the team that will run the target.
FAQHow does BluePi run a platform migration?
BluePi inventories connected workloads, assigns treatments, captures baselines, plans dependency-closed waves, converts with reviewable automation, validates source-to-target behavior, synchronizes coexistence, and runs controlled cutover, rollback, stabilization, retirement, and transfer.
FAQWhat is SmartMigrate responsible for?
SmartMigrate can accelerate supported inventory, parsing, dependency analysis, complexity scoring, conversion, and reconciliation. BluePi engineers own business meaning, unsupported constructs, exceptions, target tuning, validation, performance, security, cutover, rollback, and acceptance.
FAQHow can a migration engagement start?
Start with one representative workload family. Connect its objects and dependencies, choose the target treatment, capture the source baseline, convert supported scope, record exceptions, reconcile behavior, and exercise coexistence, cutover, rollback, and operating ownership.
Start with one use case.
We will look at who owns the decision, the current baseline, the data involved, what the system must include, and the route to go-live.
Discuss your migration