parquet7.6 KB

E-commerce Products (Parquet, 200 rows)

The e-commerce products table as Apache Parquet — the columnar twin, for testing analytics engines (pandas, DuckDB, Spark).

Data Engineering Conversion testing

Preview — schema + first 8 rowsparquet

product_id	sku	name	category	price	stock	rating
1	SKU-00001	Wireless Coffee Beans	Home & Kitchen	222.23	216	4.4
2	SKU-00002	Deluxe Notebook	Books	487.92	47	4.5
3	SKU-00003	Classic Coffee Beans	Clothing	68.41	419	3.7
4	SKU-00004	Ergonomic Blender	Sports	323.7	463	4.6
5	SKU-00005	Stainless Yoga Mat	Toys	117.47	46	3.1
6	SKU-00006	Stainless Desk Lamp	Beauty	317.66	413	4.5
7	SKU-00007	Classic T-Shirt	Grocery	485.49	222	4.6
8	SKU-00008	Deluxe Coffee Beans	Electronics	236.02	97	3.1

Decoded Parquet — first 8 of 200 rows.

Specifications

Rows: 200
Columns: 7
Format: Apache Parquet
Domain: e-commerce

csvE-commerce Customers (CSV, 500 rows)A realistic e-commerce customer directory (500 rows) — part of a relational dataset (products, customers, orders) with CSV, JSON, SQL, and Parquet twins for testing joins, imports, and conversion.
csvE-commerce Orders (CSV, 2000 rows)A realistic e-commerce order lines (customer_id → customers, product_id → products) (2000 rows) — part of a relational dataset (products, customers, orders) with CSV, JSON, SQL, and Parquet twins for testing joins, imports, and conversion.
parquetE-commerce Orders (Parquet, 2000 rows)The e-commerce orders table as Apache Parquet — the columnar twin, for testing analytics engines (pandas, DuckDB, Spark).
avroAvro — Row Binary + SchemaThe same records as Apache Avro — a compact row-based binary format that embeds its own schema, widely used in Kafka pipelines. For testing Avro decoders and schema evolution.
featherFeather — Arrow IPC TableThe same table as Feather (Arrow IPC file) — the zero-copy on-disk form of an Apache Arrow table. For testing Arrow readers and fast columnar interchange.
h5HDF5 — Hierarchical Scientific DataA small HDF5 file with a compound 'employees' dataset and a numeric 'readings' grid — the hierarchical format used across science and ML. For testing h5py/HDF5 readers and conversion.

Generated by generation/data_realworld.py. Free for any use, no attribution required — license.