Designing data-intensive applications

Título:

Designing data-intensive applications: the big ideas behind reliable, scalable, and maintainable systems

Autor:

Kleppmann, Martin

Colaboradores:

Temas:

DESARROLLO DE APLICACIONES ; PROCESAMIENTO DE DATOS ; DISEÑO ; 

Edición:

1st ed.

Descripción física:

xix, 590 p.

ISBN:

9781449373320

Idioma:

Inglés, 

País:

Estados Unidos

Publicación:

Sebastopol : O'Reilly Media, 2017

Nota general:

Incluye índice y bibliografía.

Puede solicitar más fácilmente el ejemplar con: H.2.8 KLE

PART I Foundations of Data Systems
Chapter 1 Reliable, Scalable, and Maintainable Applications
Thinking About Data Systems
Reliability
Scalability
Maintainability
Summary
Chapter 2 Data Models and Query Languages
Relational Model Versus Document Model
Query Languages for Data
Graph-Like Data Models
Summary
Chapter 3 Storage and Retrieval
Data Structures That Power Your Database
Transaction Processing or Analytics?
Column-Oriented Storage
Summary
Chapter 4 Encoding and Evolution
Formats for Encoding Data
Modes of Dataflow
Summary

PART II Distributed Data

Chapter 5 Replication
Leaders and Followers
Problems with Replication Lag
Multi-Leader Replication
Leaderless Replication
Summary
Chapter 6 Partitioning
Partitioning and Replication
Partitioning of Key-Value Data
Partitioning and Secondary Indexes
Rebalancing Partitions
Request Routing
Summary
Chapter 7 Transactions
The Slippery Concept of a Transaction
Weak Isolation Levels
Serializability
Summary
Chapter 8 The Trouble with Distributed Systems
Faults and Partial Failures
Unreliable Networks
Unreliable Clocks
Knowledge, Truth, and Lies
Summary
Chapter 9 Consistency and Consensus
Consistency Guarantees
Linearizability
Ordering Guarantees
Distributed Transactions and Consensus
Summary

PART III Derived Data

Chapter 10 Batch Processing
Batch Processing with Unix Tools
MapReduce and Distributed Filesystems
Beyond MapReduce
Summary
Chapter 11 Stream Processing
Transmitting Event Streams
Databases and Streams
Processing Streams
Summary
Chapter 12 The Future of Data Systems
Data Integration
Unbundling Databases
Aiming for Correctness
Doing the Right Thing
Summary