---
title: "dataset"
description: "A dataset is a collection of related data points or records, typically organized in a structured format for analysis or processing."
canonical: "https://motherduck.com/glossary/dataset/"
related:
  - title: "Example Datasets | MotherDuck Docs"
    url: "https://motherduck.com/docs/getting-started/sample-data-queries/datasets/"
  - title: "From Data Lake to Lakehouse: Can DuckDB be the best portable catalog?"
    url: "https://motherduck.com/blog/from-data-lake-to-lakehouse-duckdb-portable-catalog/"
  - title: "DuckLake | MotherDuck Docs"
    url: "https://motherduck.com/docs/concepts/ducklake/"
gated_asset:
  title: "DuckLake on MotherDuck"
  url: "https://motherduck.com/product/ducklake/"
---

# dataset

> A dataset is a collection of related data points or records, typically organized in a structured format for analysis or processing.

A dataset is a collection of related data points or records, typically organized in a structured format for analysis or processing. In the context of data analytics and engineering, datasets often take the form of tables, spreadsheets, or files containing rows and columns of information. These can range from small, simple collections to large, complex assemblages of data from various sources.

Datasets serve as the foundation for data analysis, machine learning, and business intelligence tasks. They may contain numerical values, text, dates, or other data types, and can represent a wide variety of information such as customer transactions, sensor readings, survey responses, or scientific observations.

In modern data workflows, datasets are often stored in formats like CSV, JSON, or [Parquet](https://parquet.apache.org/), which are easily consumable by various data processing tools. When working with [DuckDB](https://duckdb.org/), you can easily load and query datasets using SQL. For example:

```sql
-- Load a CSV dataset into DuckDB
CREATE TABLE my_dataset AS SELECT * FROM read_csv_auto('path/to/dataset.csv');

-- Query the dataset
SELECT * FROM my_dataset LIMIT 5;
```

Data professionals frequently work with multiple datasets, joining or transforming them to derive insights or build more comprehensive analyses. Understanding how to effectively manipulate and analyze datasets is a crucial skill for aspiring data analysts and engineers.