Practical guides for safer data workflows
Start with the complete Workflow Runner path or jump directly to the problem you are solving: profiling, cleanup, schema drift, database import or migration reconciliation.
Workflow Runner quick start
Use the preconfigured demo, understand quality gates and see Profile → Clean → Contract → Validate → Output end to end.
Open quick start → WORKFLOW DESIGNBuild a repeatable CSV workflow
Separate data from reusable configuration and turn recurring cleanup, contracts and mappings into a workflow.
Read the guide → RECURRING FEEDSHandle messy vendor files
Deal with changing headers, missing values, duplicates, type drift and repeated one-off spreadsheet fixes.
Read the guide → PROFILEProfile CSV before import
Inspect completeness, uniqueness, duplicate rows, inferred types and ranges before making changes.
Read the guide → CLEANClean CSV deliberately
Turn repeated transformations into explicit, reviewable cleanup steps instead of manual spreadsheet edits.
Read the guide → CONTRACTDetect schema drift
Use data contracts to catch missing columns, type changes, null-rate drift, uniqueness failures and key problems.
Read the guide → VALIDATEValidate before database import
Review schema, mappings, required values, duplicate keys, types and invalid rows before generating SQL.
Read the guide → RECONCILEValidate after migration
Compare source and target data after a migration instead of relying only on row counts or successful jobs.
Read the guide → DIAGNOSEFind missing records after import
Use keys and source-to-target comparison to find records that disappeared, appeared unexpectedly or changed.
Read the guide →Use the guide, then try the workflow on your own data.
RowMend's data operations run in your browser. You can use the standalone tools for one-off work or Local Projects and Workflow Runner for recurring processes.