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Autor(en): 
  • Michael Simons
  • Mark Needham
  • Michael Hunger
  • DuckDB in Action 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Januar 2025  
    Genre:  EDV / Informatik 
    ISBN:  9781633437258 
    EAN-Code: 
    9781633437258 
    Verlag:  Pearson Academic 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 190 mm / D 20 mm 
    Gewicht:  565 gr 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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:

    • 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 documentationyou'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.
      



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