Crepalde Big Data on Kubernetes

A practical guide to building efficient and scalable data solutions
1. Auflage 2024
ISBN: 978-1-83546-899-9
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 296 Seiten

No detailed description available for "Big Data on Kubernetes".

Autoren/Hrsg.

Crepalde, Neylson

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Warehouse
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Verteilte Systeme (Netzwerke)
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse

Inhaltsverzeichnis

Table of Contents - Getting Started with Containers
- Kubernetes Architecture
- Kubernetes - Hands On
- The Modern Data Stack
- Big Data Processing with Apache Spark
- Apache Airflow for Building Pipelines
- Apache Kafka for Real-Time Events and Data Ingestion
- Deploying the Big Data Stack on Kubernetes
- Data Consumption Layer
- Building a Big Data Pipeline on Kubernetes
- AI/ML Workloads on Kubernetes
- Where to Go from Here

Über Autor(innen)

Crepalde Neylson:
Neylson Crepalde is a Generative AI Strategist at AWS. Prior to that, he was CTO at A3Data, a consulting company focused on Data, Analytics and Artificial Intelligence. He holds a PhD in Economic Sociology, a master in Sociology of Culture, an MBA in Cultural Management and a Bachelor in Orchestra Conducting. He has been working with data since 2015. He is committed to sharing knowledge with people of every professional level and helping data teams achieve their best. He is several times AWS certified, Spark certified, Neo4j certified and Airflow certified. Neylson has been teaching for 10+ years now in colleges and MBA programs and he gives regular talks and lectures on Data Architecture, AI strategy, Data Governance and Network Science.