Lukavský Building Big Data Pipelines with Apache Beam

Use a single programming model for both batch and stream data processing
1. Auflage 2022
ISBN: 978-1-80056-656-9
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 342 Seiten

No detailed description available for "Building Big Data Pipelines with Apache Beam".

Autoren/Hrsg.

Lukavský, Jan

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Technische Informatik Grid-Computing & Paralleles Rechnen

Inhaltsverzeichnis

Table of Contents - Introduction to Data Processing with Apache Beam
- Implementing, Testing, and Deploying Basic Pipelines
- Implementing Pipelines Using Stateful Processing
- Structuring Code for Reusability
- Using SQL for Pipeline Implementation
- Using Your Preferred Language with Portability
- Extending Apache Beam's I/O Connectors

- Understanding How Runners Execute Pipelines

Über Autor(innen)

Lukavský Jan:

Jan Lukavský is a freelance big data architect and engineer who is also a committer of Apache Beam. He is a certified Apache Hadoop professional. He is working on open source big data systems combining batch and streaming data pipelines in a unified model, enabling the rise of real-time, data-driven applications.