Data Mapping Services

Create clear source-to-target mappings for files, databases, APIs and replacement systems.

Advanced ETL Processor
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Data mapping services define how source fields become target fields. That includes direct mapping, lookups, calculations, conditions, code translations, type changes and multi-source consolidation. It is the part where “CustomerNo”, “ClientID” and “cust_ref” stop pretending they are strangers.

Source-to-target mapping needs more than matching names

We document the mapping rules and then implement them in a repeatable workflow. That keeps the specification and the running process aligned. If a rule changes, it can be changed in one visible place.

  • Field mapping
  • Database mapping
  • Source-to-target specifications
  • Lookup mappings
  • Calculated mappings
  • Conditional mappings
  • Code translations
  • Data type mapping
  • Schema differences
  • Multi-source consolidation

Practical mapping examples are usually mixed-source

Excel to SQL Server

Map spreadsheet columns to typed database fields, validate mandatory values and route rejected rows.

Oracle to PostgreSQL

Map schemas, numeric precision, dates, identifiers, lookups and target constraints.

CSV to database

Handle missing columns, text qualifiers, date formats, default values and code translations.

JSON API to relational tables

Flatten nested objects, split arrays into child tables and preserve source identifiers.

Legacy system to replacement system

Preserve business meaning while changing field names, formats, keys and relationships.

Good mapping produces a workflow and a readable specification

The output can include a source-to-target mapping document, validation rules, lookup tables, transformation workflow, test output and reconciliation checks. Mapping without testing is just a spreadsheet with confidence issues.

Send enough detail for a useful first answer

For a quote, include sample data if possible and describe the current source, required output and how often the process runs. A tiny example file is often more useful than a long meeting. Nobody has ever said that about a long meeting.

  • Sample data or representative field list
  • Source format and destination format
  • Approximate record volume
  • Transformation, validation and mapping requirements
  • Processing frequency and delivery deadline
  • Required output files, tables, reports or exception logs

Frequently Asked Questions

Can you create a source-to-target mapping?

Yes. We can document and implement source-to-target field mappings, including transformations, lookups and validation rules.

Can mappings include calculated fields?

Yes. Calculated fields, conditional logic, default values and derived values are common mapping rules.

Can you map multiple sources into one target?

Yes. We can consolidate Excel, files, APIs and databases into a single target structure when the keys and business rules are clear.

Can our team maintain the mapping later?

Yes. The workflow can be handed over with documentation and editable lookup tables where appropriate.