Title Statements
- Full title :RavenDB high performance / Brian Ritchie.
Summary
RavenDB High Performance is comprehensive yet concise tutorial that developers can use to. This book is for developers & software architects who are designing systems in order to achieve high performance right from the start. A basic understanding of RavenDB is recommended, but not required. While the book focuses on advanced topics, it does not assume that the reader has a great deal of prior knowledge of working with RavenDB.
Read More ↓Edition Statements
- Publication Date:2013.
Publication Statements
- Publisher(s):Packt Publishing
- Place of Publication:Birmingham, England
- Language:eng
- Publication Date:2013.
Notes
Includes index.
The Physical Object
- Description:1 online resource (124 pages) : : illustrations
Edition Identifiers
- ISBN:9781782166993, 1782166998, 178216698X, 9781782166986
- oclc:ocn861526421
- LC Classification:QA76.9.D3
- Dewey Decimal:005.7565
Table of Contents
Table of Contents; RavenDB High Performance; RavenDB High Performance; Credits; Foreword; About the Author; About the Reviewers; www.PacktPub.com; Support files, eBooks, discount offers and more; Why Subscribe?; Free Access for Packt account holders; Preface; What this book covers; What you need for this book; Who this book is for; Conventions; Reader feedback; Customer support; Errata; Piracy; Questions; 1. A Different Kind of Database; Explosive growth; Semi-structured data; Architecture changes; Rethinking the database; Document databases; A document database for the .NET platform.
RavenDB architectureStoring documents; Searching and retrieving documents; Summary; 2. Optimizing the Data Model; Thinking in a document centric world; A pattern-based approach to modeling relationships; One-to-one relationships; One-to-many relationships; Many-to-many relationships; Modeling relationships using keys; Data modeling by example; Efficiently accessing documents; Working with indexes; Materialized views; Aggregating data using reduce; Efficiently loading related documents; Handling changing data over time; Efficiently storing large chunks of data; Summary; 3. Optimizing the API.
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