https://dev.bcld.info/works/82709600-d474-45e8-9db5-5fade8507523
subject: sh86007468
subject: Réseaux d'ordinateurs--Architectures
  type: ComplexSubject
  authoritative label: Réseaux d'ordinateurs--Architectures
  component list: Topic
    authoritative label: Réseaux d'ordinateurs
  component list: Topic
    authoritative label: Architectures
  aap-normalized: réseauxd'ordinateursarchitectures
  type: Topic
  source: rvm
subject: Réseaux de stockage (Informatique)
  aap-normalized: réseauxdestockage(informatique)
  authoritative label: Réseaux de stockage (Informatique)
  source: rvm
  type: Topic
title: Title
  main title: Apache Iceberg
subject: sh2001003093
admin metadata: AdminMetadata
  derived from: http://id.loc.gov/resources/works/23953471
  status: http://id.loc.gov/vocabulary/mstatus/c
  agent: bcld
  date: 2026-07-07T22:44:25.785020+00:00
contribution: Contribution
  agent: no2024068131
  role: aut
aap: Shiran, Tomer. Apache Iceberg
type: Monograph
content: http://id.loc.gov/vocabulary/contentTypes/txt
supplementary content: index
illustrative content: ill
aap-normalized: shirantomerapacheiceberg
classification: ClassificationLcc
  status: uba
  item portion: .S55 2024
  classification portion: QA76.585
  assigner: dlc
summary: Summary
  label: Traditional data architecture patterns are severely limited. To use these patterns, you have to ETL data into each tool--a cost-prohibitive process for making warehouse features available to all of your data. This lack of flexibility forces you to adjust your workflow to the tool your data is locked in, which creates data silos and data drift. This book shows you a better way. Apache Iceberg provides the capabilities, performance, scalability, and savings that fulfill the promise of an open data lakehouse. By following the lessons in this book, you'll be able to achieve interactive, batch, machine learning, and streaming analytics with this lakehouse. Authors Tomer Shiran, Jason Hughes, and Alex Merced from Dremio guide you through the process. With this book, you'll learn: The architecture of Apache Iceberg tables What happens under the hood when you perform operations on Iceberg tables How to further optimize Apache Iceberg tables for maximum performance How to use Apache Iceberg with popular data engines such as Apache Spark, Apache Flink, and Dremio Sonar How Apache Iceberg can be used in streaming and batch ingestion Discover why Apache Iceberg is a foundational technology for implementing an open data lakehouse.
type: Text
admin metadata: AdminMetadata
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  description level: bibframe-2-6-0
  description authentication: pcc
  date: 2026-07-07
  description language: eng
classification: ClassificationDdc
  classification portion: 004.6
  edition: full
  source: Source
    code: 23/eng/20240123
subject: sh2008004883
contribution: Contribution
  agent: no2024068140
  role: aut
language: eng
contribution: Contribution
  agent: n97069969
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  role: aut
type: Work