DuckDB in Action
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Form:Einzelkauf Download
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Sprache:Englisch
50,83 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
ePUB
Kopierschutz
Ja
Family Sharing
Ja
Text-to-Speech
Ja
Erscheinungsdatum
10.09.2024
Verlag
ManningSeitenzahl
312 (Printausgabe)
Dateigröße
7869 KB
Sprache
Englisch
EAN
9781638355595
Dive into DuckDB and start processing gigabytes of data with easeall 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 DuckDBall through hands-on examples.
Open up DuckDB in Action and learn how to:
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
For data pros comfortable with Python and CLI tools.
About the author
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.
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 DuckDBall 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
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
For data pros comfortable with Python and CLI tools.
About the author
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.
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