Irani Modern Data Architecture on AWS

A Practical Guide for Building Next-Gen Data Platforms on AWS
1. Auflage 2023
ISBN: 978-1-80181-012-8
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 420 Seiten

No detailed description available for "Modern Data Architecture on AWS".

Autoren/Hrsg.

Irani, Behram

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Cloud-Computing, Grid-Computing

Inhaltsverzeichnis

Table of Contents - Modern Data Architecture on AWS
- Scalable Data Lakes
- Batch Data Ingestion
- Streaming Data Ingestion
- Data Processing
- Interactive Analytics
- Data Warehousing
- Data Sharing
- Data Federation
- Predictive Analytics
- Generative AI
- Operational Analytics
- Business Intelligence
- Data Governance
- Data Mesh
- Performant and Cost-effective Data Platform
- Automate, Operationalize and Monetize

Über Autor(innen)

Irani Behram:
Behram Irani is currently a technology leader with Amazon Web Services (AWS) specializing in data, analytics and AI/ML. He has spent over 18 years in the tech industry helping organizations, from start-ups to large-scale enterprises, modernize their data platforms. In the last 6 years working at AWS, Behram has been a thought leader in the data, analytics and AI/ML space; publishing multiple papers and leading the digital transformation efforts for many organizations across the globe. Behram has completed his Bachelor of Engineering in Computer Science from the University of Pune and has an MBA degree from the University of Florida.