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Data

Parquet File Samples

Downloadable Parquet sample files from simple to complex for ETL and warehouse pipeline testing

Samples

Entries inside this sample collection

FileSimple

Simple Users Parquet

Small flat dataset with id/name/active fields

Difficulty

1/10

Estimated time

1 min

Tags

parquet, flat, basic

simple-users.parquet

PARQUET

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FileIntermediate

Intermediate Orders Parquet

Order records with timestamp, currency, and numeric metrics

Difficulty

3/10

Estimated time

3 min

Tags

parquet, orders, timestamp, metrics

intermediate-orders.parquet

PARQUET

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FileComplex

Complex Events Parquet

Analytics-style event data with richer columns and JSON payload field

Difficulty

6/10

Estimated time

6 min

Tags

parquet, events, analytics, pipeline

complex-events.parquet

PARQUET

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Tools

Tools frequently paired with this sample

Related

Related sample collections

Related

Related workflows

Hub

AGEX Secure File Packaging and Handoff

Package a file as AGEX, inspect visible metadata, choose passphrase and signature settings, and verify the handoff before delivery.

Hub

Image Metadata Inspection, Orientation, and Privacy Cleanup

Inspect EXIF, IPTC, and XMP, fix orientation safely, decide between metadata editing and irreversible privacy removal, and verify the exported file no longer exposes unwanted data.

Hub

Data Quality and Anomaly Investigation Workflows

Profile tabular data, isolate duplicates, missingness, referential breaks, outliers, and time-series anomalies, and turn findings into defensible quality evidence.

Hub

Audio Metadata, Tags, Chapters, and Album Art

Prepare music or podcast files by checking tags, managing artwork, adding chapters, and cleaning delivery metadata.

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Lead Generation Quiz Launch and Contact Handoff
Memorial Drafts: Family Review and Print Handoff
Private Habit Records: Backup, Restore and Sharing Review
Article to X and LinkedIn Drafts: Fact Review and Handoff
Markdown Interactive Deck Review and Offline Handoff

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Data Processing

JSON File Merger

Merge multiple JSON files with various merging strategies (deep merge, overwrite, combine arrays, etc.)

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AI Data Normalizer

AI-powered data format normalization tool that intelligently cleans and standardizes messy data using advanced AI analysis

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Filter CSV data by column values with multiple conditions and operators. Supports 12 filter operators including equals, contains, greater_than, less_than, and empty value checks. Additional Filters examples: [{"column": "age", "operator": "greater_than", "value": "25"}] [{"column": "status", "operator": "equals", "value": "active"}, {"column": "score", "operator": "greater_equal", "value": "80"}] [{"column": "name", "operator": "contains", "value": "john"}, {"column": "email", "operator": "is_not_empty"}]

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Convert CSV data to JSON format with customizable parsing options

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Pure code-based data format normalization tool that cleans and standardizes messy data using programmatic logic

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Convert Excel file to JSON format, extracting data from the first worksheet

Text Processing

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Parse fixed-width text with explicit or inferred field boundaries, character or UTF-8 byte positions, schemas, and anomaly reports.

Data Formats

Parquet Samples

Apache Parquet columnar storage format examples with schemas, compression, and data processing

Data

CSV Samples

Sample CSV files with various data types, sizes, and complexity levels

Data

NDJSON Samples

Downloadable NDJSON files from simple to complex for ingestion, streaming, and pipeline tests

Document

PDF Samples

Generated PDF samples from tools dated 2026-02-01 to 2026-02-10

Testing

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Data Formats

Apache Arrow Samples

Apache Arrow in-memory columnar format examples for high-performance data processing and analytics