DuckDB in Action, Video Edition
DuckDB in Action, Video Edition
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | 7.5 Hours Duration | 1.65 GB
Genre: eLearning | Language: English
Video
description
In Video Editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video.
Dive into DuckDB and start processing gigabytes of data with ease—all with no data warehouse.
DuckDB is a cutting-edge SQL database that makes it incredibly easy to analyze big data sets right from your laptop. In
DuckDB in Action
you'll learn everything you need to know to get the most out of this awesome tool, keep your data secure on prem, and save you hundreds on your cloud bill. From data ingestion to advanced data pipelines, you'll learn everything you need to get the most out of DuckDB—all through hands-on examples.
Open up
DuckDB in Action
and learn how to:
Read and process data from CSV, JSON and Parquet sources both locally and remote
Write analytical SQL queries, including aggregations, common table expressions, window functions, special types of joins, and pivot tables
Use DuckDB from Python, both with SQL and its "Relational"-API, interacting with databases but also data frames
Prepare, ingest and query large datasets
Build cloud data pipelines
Extend DuckDB with custom functionality
Pragmatic and comprehensive,
DuckDB in Action
introduces the DuckDB database and shows you how to use it to solve common data workflow problems. You won't need to read through pages of documentation—you'll learn as you work. Get to grips with DuckDB's unique SQL dialect, learning to seamlessly load, prepare, and analyze data using SQL queries. Extend DuckDB with both Python and built-in tools such as MotherDuck, and gain practical insights into building robust and automated data pipelines.
About the Technology
DuckDB makes data analytics fast and fun! You don't need to set up a Spark or run a cloud data warehouse just to process a few hundred gigabytes of data. DuckDB is easily embeddable in any data analytics application, runs on a laptop, and processes data from almost any source, including JSON, CSV, Parquet, SQLite and Postgres.
About the Book
DuckDB in Action
guides you example-by-example from setup, through your first SQL query, to advanced topics like building data pipelines and embedding DuckDB as a local data store for a Streamlit web app. You'll explore DuckDB's handy SQL extensions, get to grips with aggregation, analysis, and data without persistence, and use Python to customize DuckDB. A hands-on project accompanies each new topic, so you can see DuckDB in action.
What's Inside
Prepare, ingest and query large datasets
Build cloud data pipelines
Extend DuckDB with custom functionality
Fast-paced SQL recap: From simple queries to advanced analytics
About the Reader
For data pros comfortable with Python and CLI tools.
About the Authors
Mark Needham
is a blogger and video creator at @LearnDataWithMark.
Michael Hunger
leads product innovation for the Neo4j graph database.
Michael Simons
is a Java Champion, author, and Engineer at Neo4j.
Quotes
I use DuckDB every day, and I still learned a lot about how DuckDB makes things that are hard in most databases easy!
- Jordan Tigani, Founder, MotherDuck
An excellent resource! Unlocks possibilities for storing, processing, analyzing, and summarizing data at the edge using DuckDB.
- Pramod Sadalage, Director, Thoughtworks
Clear and accessible. A comprehensive resource for harnessing the power of DuckDB for both novices and experienced professionals.
- Qiusheng Wu, Associate Professor, University of Tennessee
Excellent! The book all we ducklings have been waiting for!
- Gunnar Morling, Decodable
description
In Video Editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video.
Dive into DuckDB and start processing gigabytes of data with ease—all with no data warehouse.
DuckDB is a cutting-edge SQL database that makes it incredibly easy to analyze big data sets right from your laptop. In
DuckDB in Action
you'll learn everything you need to know to get the most out of this awesome tool, keep your data secure on prem, and save you hundreds on your cloud bill. From data ingestion to advanced data pipelines, you'll learn everything you need to get the most out of DuckDB—all through hands-on examples.
Open up
DuckDB in Action
and learn how to:
Read and process data from CSV, JSON and Parquet sources both locally and remote
Write analytical SQL queries, including aggregations, common table expressions, window functions, special types of joins, and pivot tables
Use DuckDB from Python, both with SQL and its "Relational"-API, interacting with databases but also data frames
Prepare, ingest and query large datasets
Build cloud data pipelines
Extend DuckDB with custom functionality
Pragmatic and comprehensive,
DuckDB in Action
introduces the DuckDB database and shows you how to use it to solve common data workflow problems. You won't need to read through pages of documentation—you'll learn as you work. Get to grips with DuckDB's unique SQL dialect, learning to seamlessly load, prepare, and analyze data using SQL queries. Extend DuckDB with both Python and built-in tools such as MotherDuck, and gain practical insights into building robust and automated data pipelines.
About the Technology
DuckDB makes data analytics fast and fun! You don't need to set up a Spark or run a cloud data warehouse just to process a few hundred gigabytes of data. DuckDB is easily embeddable in any data analytics application, runs on a laptop, and processes data from almost any source, including JSON, CSV, Parquet, SQLite and Postgres.
About the Book
DuckDB in Action
guides you example-by-example from setup, through your first SQL query, to advanced topics like building data pipelines and embedding DuckDB as a local data store for a Streamlit web app. You'll explore DuckDB's handy SQL extensions, get to grips with aggregation, analysis, and data without persistence, and use Python to customize DuckDB. A hands-on project accompanies each new topic, so you can see DuckDB in action.
What's Inside
Prepare, ingest and query large datasets
Build cloud data pipelines
Extend DuckDB with custom functionality
Fast-paced SQL recap: From simple queries to advanced analytics
About the Reader
For data pros comfortable with Python and CLI tools.
About the Authors
Mark Needham
is a blogger and video creator at @LearnDataWithMark.
Michael Hunger
leads product innovation for the Neo4j graph database.
Michael Simons
is a Java Champion, author, and Engineer at Neo4j.
Quotes
I use DuckDB every day, and I still learned a lot about how DuckDB makes things that are hard in most databases easy!
- Jordan Tigani, Founder, MotherDuck
An excellent resource! Unlocks possibilities for storing, processing, analyzing, and summarizing data at the edge using DuckDB.
- Pramod Sadalage, Director, Thoughtworks
Clear and accessible. A comprehensive resource for harnessing the power of DuckDB for both novices and experienced professionals.
- Qiusheng Wu, Associate Professor, University of Tennessee
Excellent! The book all we ducklings have been waiting for!
- Gunnar Morling, Decodable
