We move legacy data.

Move your legacy data without losing what it knows.

Labs 53 specialises in migrating legacy data platforms — ETL, warehouse and BI — to modern cloud architectures. Deepest specialism is Oracle and ODI; delivery experience also covers Informatica, Oracle Warehouse Builder, OBIEE and Hadoop.

Legacy data estate migration flowETL, data warehouse, reporting and data lake systems flow through the Nexus53 framework into Databricks, Snowflake and BigQuery.LEGACY ESTATEETL / IntegrationData warehouseBI / ReportingData lakeTRACE · SHIFT · PROOF · OPERATEMODERN CLOUDDatabricksSnowflakeBigQuery

The problem

Universal legacy symptoms.

Undocumented custom components

Logic and custom code that only the original authors understand.

e.g. Custom modules, reusable routines, mappings

Objects nobody dares delete

Interconnected objects with unknown downstream impact.

e.g. Orphaned mappings, unused workflows, jobs

Business logic living only in stored procedures

Critical rules buried in procedural code, not documented elsewhere.

e.g. PL/SQL, Java, shell scripts

An ingestion layer everyone avoids

Fragile ETL/ELT pipelines that are hard to change or extend.

e.g. Complex jobs, bespoke loaders

Reports nobody can trace to source

BI layers disconnected from the data lineage and underlying truth.

e.g. OBIEE reports, Excel extracts, metric discrepancies

Services

Nexus53 — the Labs 53 migration framework

Four bounded components for understanding, rebuilding, proving and transferring complex data estates.

Trace53

Estate intelligence & assessment

Inventory, dependency and lineage analysis, orphan audit, complexity tiering, and an evidence-based effort & cost model.

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Shift53

Conversion & rebuild

Transformation logic, procedures, orchestration, CDC patterns and target data modelling.

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Proof53

Validation & reconciliation

Parallel run, row-count and aggregate reconciliation, and repeatable sign-off evidence.

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Operate53

Enablement & transition

Runbooks, knowledge transfer and a controlled handover to BAU ownership.

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Why it costs less than it looks

The cost is not the object count.

Effort concentrates in the first instance of each pattern, and the repeats that follow are close to free. What sets a conversion budget is how many distinct patterns an estate has — which is the thing an assessment measures and a headcount estimate never does.

Conversion cost tracks distinct patterns, not object countsMany objects in an estate collapse into a much smaller number of distinct patterns. The first instance of each pattern carries the full design effort; every repeat after it costs a small fraction. The ratio is measured per estate during Trace53.OBJECTS IN THE ESTATEDISTINCT PATTERNSFirst instance of a patternEvery repeat after itfull design effortclose to free

Illustrative of shape. The ratio of objects to distinct patterns is measured in your own estate during Trace53.

Method

How it works.

Discover

Inventory the estate, understand scope, dependencies and current-state complexity.

Estate inventory

Assess

Classify objects, identify risks, estimate effort and build the migration roadmap.

Effort & risk model

Convert

Translate or rebuild logic, replatform procedures, redesign pipelines and implement in target.

Code in your repo

Validate

Reconcile data, validate business logic and ensure results match with high confidence.

Evidence pack

Transition

Knowledge transfer, documentation and support to run and evolve the new platform.

Runbooks & ownership

Our deepest specialism

ODI migration,
done properly.

Oracle Data Integrator estates accumulate mappings, packages, custom knowledge modules and fragile dependencies over years. Nexus53 for ODI brings the specialist tooling and delivery experience to migrate them without losing what matters.

  • Repository intelligence and complexity analysis
  • Knowledge module reverse engineering
  • Procedure and package migration
  • Load and CDC pattern modernisation
  • Parallel-run reconciliation at scale
Explore ODI migration
Oracle ODI migration spotlightAn Oracle ODI estate with mappings, packages, custom knowledge modules and orphaned objects flows into Databricks, Snowflake and BigQuery.SOURCE: ORACLE / ODIORACLE1,2847318?MappingsPackagesCustom KMsOrphanedobjectsTARGET PLATFORMDatabricksSnowflakeBigQuery

Illustrative estate. Counts, custom-KM ratios and orphan volumes are measured per repository in Trace53.

Platforms

Where we work.

Sources — examples

Oracle & ODI
Informatica
OBIEE
Hadoop / Hive
Oracle Warehouse Builder
IBM DataStage
Cloudera / Apache
Microsoft SQL Server / SSIS
Other legacy estates
Many source platforms, three targetsNine legacy source platforms converge and land on Databricks, Snowflake or BigQuery.

Targets

Databricks
Snowflake
BigQuery

Source coverage is intentionally extensible. Depth remains concentrated in complex legacy data migration rather than a generalist technology catalogue.

Ready to start the conversation?

Send us your repository stats or describe the estate you need to move.

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