Topol In-Memory Analytics with Apache Arrow

Perform fast and efficient data analytics on both flat and hierarchical structured data
1. Auflage 2022
ISBN: 978-1-80107-343-1
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 392 Seiten

No detailed description available for "In-Memory Analytics with Apache Arrow".

Autoren/Hrsg.

Topol, Matthew

Weitere Mitwirkende

McKinney, Wes

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsvisualisierung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur

Inhaltsverzeichnis

Table of Contents - Getting Started with Apache Arrow
- Working with Key Arrow Specifications
- Data Science with Apache Arrow
- Format and Memory Handling
- Crossing the Language Barrier with the Arrow C Data API
- Leveraging the Arrow Compute APIs
- Using the Arrow Datasets API
- Exploring Apache Arrow Flight RPC
- Powered By Apache Arrow
- How to Leave Your Mark on Arrow
- Future Development and Plans

Über Autor(innen)

Topol Matthew:
Matthew Topol is an Apache Arrow contributor and a principal software architect at FactSet Research Systems, Inc. Since joining FactSet in 2009, Matt has worked in both infrastructure and application development, led development teams, and architected large-scale distributed systems for processing analytics on financial data. In his spare time, Matt likes to bash his head against a keyboard, develop and run delightfully demented games of fantasy for his victims—er—friends, and share his knowledge with anyone interested enough to listen.