Import Data with Advanced ETL Processor

Advanced ETL Processor
4.9 ★★★★★ Based on 16 reviews on Capterra See all reviews on Capterra →

Data import should be a repeatable workflow, not a heroic manual ritual performed whenever a file lands in a folder. Advanced ETL Processor imports Excel, JSON, XML, text, QVD, QVX, Parquet, and Clarion data into databases with validation, mapping, scheduling, and logs. Clarion TPS files are read directly, so you do not need ODBC just to use Clarion as the source. The file can still be dramatic. The process does not have to join in.

Imports belong inside the ETL workflow

Files rarely arrive clean, polite, and ready for loading. Columns move. Dates change formats. Empty values appear in places that make databases raise an eyebrow. Advanced ETL Processor keeps import rules next to transformation, validation, scheduling, and logging.

Start with the Advanced ETL Processor Enterprise overview, download the fully functional 30-day trial, use the video tutorials, or keep the WIKI open while you build.

data import workflow in Advanced ETL Processor

Choose the source format you need to import

Validation matters before loading starts

For background, compare Microsoft Excel specifications and limits, RFC 8259 JSON specification, and W3C XML specification. The practical lesson is the same for every import: define the source layout, map fields, reject bad rows, and log the result.

Use automation when the import repeats

If an import happens once, a manual load may be enough. If it happens every day, week, or month, automate it. Advanced ETL Processor supports unlimited workflows, unlimited executions, and $0 row transfer fees. That is less exciting for cloud billing departments, which is rather the point.

Do not automate an import until the source layout, target table, key fields, and failure behaviour are agreed. Once those rules are clear, the boring part belongs to software.

Business usage examples

Operations lead

Turn repeated file imports into scheduled workflows with validation and clear logs.

Data team

Load Excel, JSON, XML, text, QVD, QVX, and Parquet data into supported databases.

Compliance owner

Keep original files, rejected rows, mappings, and run history visible enough for audit work.

FAQ

Can Advanced ETL Processor automate data imports?

Yes. It can import Excel, JSON, XML, text, QVD, QVX, and Parquet files into supported databases using scheduled workflows.

Does importing need scripting?

No scripting is required for routine import, validation, mapping, scheduling, and logging.

Can I test before buying?

Yes. Download the fully functional 30-day trial and build one small import first.

When should I not automate an import yet?

Do not automate it until the source layout, target table, key fields, and rejected-row rules are clear.

Can imports run on a schedule?

Yes. Import packages can run on a schedule, watch folders, process matching files, archive originals, and write logs for every run.

Can bad rows be rejected without stopping everything?

Yes. Use validation rules to reject bad rows, keep accepted rows moving, and record enough detail to fix the source file later.

Can imported data be transformed before loading?

Yes. You can clean values, convert data types, calculate fields, split columns, and apply lookup rules before writing to the target.

What should I define before the first import?

Define source layout, target table, key fields, write mode, date formats, rejected-row handling, archive location, and rerun rules.

Stop struggling with fragile ETL scripts. Start shipping reliable workflows.

Download the fully functional 30-day trial. Build your first automation in 10 minutes or less.

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