About CSV Files
When a source system has no usable export, someone produces CSVs. Delimiter, encoding and header quirks are detected rather than agreed in advance, so a folder of files is enough to start.
How the integration works
What you hand over A folder or a zip archive. Nested archives are unpacked automatically.
What gets read Delimiter is detected automatically, comma, semicolon, tab or pipe, and headers are normalised. Encoding is handled without a prior agreement.
What comes out One normalised dataset: consistent column names, UTF-8 throughout, empty values instead of the literal text NULL. The transformation works against that shape, not against the quirks of the source.
Other integrations in Data sources
Amazon RDS PostgreSQLManaged PostgreSQL on AWS. Read from a dump or a replica.
Amazon RedshiftCloud warehouse as a source for large customer datasets.
Amazon S3Object storage as a source. Files and exports pulled straight from the bucket.
FirebirdUnder trades and SMB software. The database file from the office server.
Google BigQueryWarehouse as a source. Query results feed the migration.
Google SheetsSpreadsheets as a source. Tabs read directly, no manual export needed.Our Micromerce integrations enable us to implement all your business processes and individual requirements thanks to customized configurations.However, before you start worrying about which integrations are the right combination for you, take a look at the solution packages that we have already put together for our customers over the years.