Designing Cloud Data Platforms /

Show other versions (2)

In Designing Cloud Data Platforms, Danil Zburivsky and Lynda Partner reveal a six-layer approach that increases flexibility and reduces costs. Discover patterns for ingesting data from a variety of sources, then learn to harness pre-built services provided by cloud vendors.

Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Zburivsky, Danil (Author), Partner, Lynda (Author)
Corporate Author: Safari, an O'Reilly Media Company
Format: Electronic eBook
Language:Inglés
Published: Manning Publications, 2021.
Edition:1st edition.
Subjects:
Cloud computing > Design.
Database design.
Database management.
Data mining.
Bases de données > Conception.
Bases de données > Gestion.
Exploration de données (Informatique)
Data Mining
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • 1. Introducing the data platform
  • 2. Why a data platform and not just a data warehouse
  • 3. Getting bigger and leveraging the big 3: Amazon, Microsoft Azure, and Google
  • 4. Getting data into the platform
  • 5. Organizing and processing data
  • 6. Real-time data processing and analytics
  • 7. Metadata layer architecture
  • 8. Schema management
  • 9. Data access and security
  • 10. Fueling business value with data platforms.

Similar Items