DuckDB in Action by Mark Needham
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.
-
ASP.NET Core in Action, Third Edition
-
Rust in Action
-
Graph Databases in Action
-
Bayesian Optimization in Action
-
Wicket in Action
-
Kafka in Action
-
Apache Kafka in Action
-
Hugging Face in Action
-
Kafka Streams in Action
-
SWT/JFace in Action
-
Cloud Observability in Action
-
Transformers in Action
-
Graph Neural Networks in Action
-
In Action 08 Fast Food Fight P
-
Contract Testing in Action
-
Microservices Security in Action
-
Akka in Action
-
Knowledge Graphs and LLMs in Action
-
GitHub Actions in Action
-
Spring AI in Action
-
MongoDB in Action, Second Edition
-
ScyllaDB in Action
-
Quarkus in Action
-
Kubernetes in Action
-
Elasticsearch in Action
-
Kotlin in Action, Second Edition
-
.NET MAUI in Action
-
JUnit in Action
-
Spring in Action
-
Lucene In Action
-
Hibernate In Action
-
ActiveMQ in Action
-
Terraform in Action
-
Tapestry in Action
-
Windows Forms in Action
-
AI Agents in Action, Second Edition
-
Javaserver Faces In Action
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.
| SKU | Unavailable |
| ISBN 13 | 9781633437258 |
| ISBN 10 | 1633437256 |
| Title | DuckDB in Action |
| Author | Mark Needham |
| Series | In Action Ser |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Manning Publications |
| Year published | 2024-08-26 |
| Number of pages | 312 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |