Mastering DuckDB: The Hands on Guide | Udemy [Update 06/2025]
English | Size: 4.21 GB
Genre: eLearning[/center]

High-Performance SQL with DuckDB Course: Fast, Local, Cloud and Efficient Analytics

What you'll learn
Implement DuckLake for enterprise data versioning and time travel, Connect seamlessly to AWS S3, Azure, and Google Cloud storage
Write elegant SQL with friendly alias syntax and lambda functions, Handle complex data types including structs, arrays, and JSON objects
Learn strategies to optimize memory usage and processing speed when dealing with massive datasets.
Implement ACID transactions for reliable multi-table operations, Master commit and rollback strategies for error-free data processing
Configure memory limits and threading for optimal performance, Handle datasets larger than RAM using efficient streaming techniques
You will learn to work in MotherDuck: a Cloud-native environment (SaaS) for DuckDB (Practice)

Description: Mastering DuckDB - Fast, Lightweight Analytics for Modern Data Workflows

DuckDB is a modern, high-performance SQL OLAP database designed for lightning-fast analytics, yet lightweight enough to run entirely within your application, Jupyter notebook, or Python script. With zero setup, zero servers, and near-instant performance, DuckDB is revolutionizing how we interact with local data.

Whether you're a data analyst exploring CSV files, a data engineer building ETL pipelines, or a data scientist running experiments on structured data - DuckDB will save you time, effort, and frustration. This course is your complete guide to mastering DuckDB from scratch, with hands-on exercises, real-world projects, and expert insights.

What You Will Learn

This course is designed to take you from the basics to advanced use cases with DuckDB. Here's a detailed overview of what you'll gain:

Introduction to DuckDB

What is DuckDB and w***s it gaining popularity?

OLAP vs OLTP - and where DuckDB fits in

How DuckDB compares to SQLite, Pandas, Postgres, and big data tools

Installing DuckDB across platforms (Windows, Mac, Linux)

Using DuckDB via CLI, Python, Jupyter, and SQL

Getting Started with SQL in DuckDB

Creating databases and running queries

Filtering, aggregations, group by, joins, and subqueries

Window functions, CTEs (Common Table Expressions), and date/time functions

Creating views and temporary tables

Using SQL for data exploration, profiling, and reporting

Querying Data Files Directly (No Import Required!)

Querying CSV files directly from disk with SQL

Working with large Parquet files - efficiently and fast

Integrating with Apache Arrow

Using DuckDB to read/write JSON, Excel, and other formats

Combining multiple files into a single virtual table using wildcards

DuckDB + Python Integration

Setting up DuckDB in a Python environment

Running SQL queries on DataFrames without conversion

Writing SQL queries as part of your Python data pipeline

Efficient data transformations without loops or apply()

DuckDB in Jupyter Notebooks

Magic commands for fast SQL in notebooks

Exploring datasets directly in notebooks using SQL + Python together

Ideal workflow for data science projects

Performance, Best Practices & Optimization

Vectorized execution and columnar storage explained

When to use DuckDB vs Pandas or SQL databases

Performance tuning: batching, lazy evaluation, efficient file access

Memory management and handling large datasets

Advanced Capabilities:

Implement DuckLake for enterprise-grade data management

Perform time travel queries for historical analysis

Build robust error handling with TRY expressions

Use lambda functions for complex data transformations

Optimize memory usage and query performance

Enterprise Features:

Set up cloud-based data lakes with AWS S3 integration

Manage data versioning and snapshots

Implement ACID transactions across multiple tables

Monitor and debug using metadata tables

Design scalable data architectures

Who This Course is For

This course is for anyone who works with data and is looking for a better, faster, and simpler tool for analytics:

Data Analysts: Tired of slow CSV loads or limited Excel capabilities? DuckDB will transform the way you explore and analyze data.

Data Scientists: Quickly explore, clean, and process data with SQL directly in your notebook.

Python Developers: Use SQL without a full database backend, right inside your script or application.

Data Engineers: Simplify your pipelines by removing unnecessary database dependencies and using DuckDB to process raw files.

Students/Learners: If you're new to databases or SQL, this is a great entry point with modern tooling and hands-on projects.

No prior experience with DuckDB is required. Basic familiarity with SQL or Python will be helpful, but we start from the ground up.

Tools & Technologies Covered

DuckDB CLI and embedded usage

DuckDB with Python & Pandas

DuckDB in Jupyter Notebook

CSV, Parquet, Arrow, JSON handling

SQL (basic to advanced)

Optional: Integration with Streamlit for dashboards

Why Learn DuckDB?

DuckDB is rapidly becoming a must-have tool in the modern data stack. Here's why:

Zero Setup: No server, no deployment, just run it and go.

High Performance: Easily handle millions of rows locally.

Embedded & Portable: Run inside notebooks, scripts, or even desktop apps.

SQL-Powered: Ideal for analysts and anyone who loves SQL.

File-Native: Work directly with Parquet, CSV, and more - no database needed.

Open Source & Evolving: Constantly improving and growing with the community.

Learning DuckDB now puts you ahead of the curve, as more companies and teams start to adopt it for local-first, scalable analytics.

What You'll Get

6+ hours of video lectures

Downloadable notebooks and datasets

Hands-on projects and exercises

Quizzes to test your understanding

Certificate of completion

Ready to Master DuckDB?

By the end of this course, you'll be confident using DuckDB in your data projects - whether you're exploring data files, building ETL pipelines, or combining SQL with Python for fast analytics.

Join us and learn how DuckDB can make your data work faster, easier, and more fun.

Let's dive in and make analytics delightful again - with DuckDB!

Who this course is for:
This course is perfect for beginners who want to learn Polars from scratch. Whether you're a student, a working professional, or simply curious about Polars, this course will provide you with a solid foundation. No prior experience is required!

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