现代数据平台架构(影印版)

Foreword Preface 1．Big DataTechnologyPrimer A Tour of the Landscape Core Components Computational Frameworks Analytical SQL Engines Storage Engines Ingestion Orchestration Summary Part Ⅰ．Infrastructure 2．Clusters Reasons for Multiple Clusters Multiple Clusters for Resiliency Multiple Clusters for Software Development Multiple Clusters for Workload Isolation Multiple Clusters for Legal Separation Multiple Clusters and Independent Storage and Compute Multitenancy Requirements for Multitenancy Sizing Clusters Sizing by Storage Sizing by Ingest Rate Sizing by Woddoad Cluster Growth The Drivers of Cluster Growth Implementing Cluster Growth Data Replication Replication for Software Development Replication and Workload Isolation Summary 3．Computeand Storage Computer Architecture for Hadoop Commodity Servers Server CPUs and RAM Nonuniform Memory Access CPU Specifications RAM Commoditized Storage Meets the Enterprise Modularity of Compute and Storage Everything Is Java Replication or Erasure Coding? Alternatives Hadoop and the Linux Storage Stack User Space Important System CalIs The Linux Page Cache Short-Circuit and Zero-Copy Reads Filesystems Erasure Coding Versus Replication Discussion Guidance Low-Level Storage Storage Controllers Disk Layer Server Form Factors Form Factor Comparison Guidance Workload Profiles Cluster Configurations and Node Types Master Nodes Worker Nodes Utility Nodes …… Part Ⅱ Platform Part Ⅲ Taking Hadoop to the Cloud A.Backup Onboarding Checklist. Index