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MongoDB data modeling : focus on data usage and better design schemas with the help of MongoDB /

This book is intended for database professionals, software developers, and architects who have some previous experience with MongoDB and now want to shift their focus to the concepts of data modeling. If you wish to develop better schema designs for MongoDB-based applications, this book is ideal for...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: França, Wilson da Rocha (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham, UK : Packt Publishing, 2015.
Colección:Community experience distilled.
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a MongoDB data modeling :  |b focus on data usage and better design schemas with the help of MongoDB /  |c Wilson da Rocha França. 
246 3 |a Mongo database data modeling 
246 3 0 |a Focus on data usage and better design schemas with the help of MongoDB 
264 1 |a Birmingham, UK :  |b Packt Publishing,  |c 2015. 
300 |a 1 online resource (1 volume) :  |b illustrations 
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505 0 |a Cover; Copyright; Credits; About the Author; Acknowledgments; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Introducing Data Modeling; The relationship between MongoDB and NoSQL; Introducing NoSQL (Not Only SQL); NoSQL databases types; Dynamic schema, scalability, and redundancy; Database design and data modeling; The ANSI-SPARC architecture; The external level; The conceptual level; The internal level; Data modeling; The conceptual model; The logical model; The physical model; Summary; Chapter 2: Data Modeling with MongoDB 
505 8 |a Introducing documents and collectionsJSON; BSON; Characteristics of documents; The document size; Names and values for a field in a document; The document primary key; Support collections; The optimistic loop; Designing a document; Working with embedded documents; Working with references; Atomicity; Common document patterns; One-to-one; One-to-many; Many-to-many; Summary; Chapter 3: Querying Documents; Understanding the read operations; Selecting all documents; Selecting documents using criteria; Comparison operators; Logical operators; Element operators; Evaluation operators; Array operators 
505 8 |a ProjectionsIntroducing the write operations; Inserts; Updates; Write concerns; Unacknowledged; Acknowledged; Journaled; Replica acknowledged; Bulk writing documents; Summary; Chapter 4: Indexing; Indexing documents; Indexing a single field; Indexing more than one field; Indexing multi-key fields; Indexing for text search; Creating special indexes; Time to live indexes; Unique indexes; Sparse indexes; Summary; Chapter 5: Optimizing Queries; Understanding the query plan; Evaluating queries; Covering a query; The query optimizer; Reading from many MongoDB instances; Summary 
505 8 |a Chapter 6: Managing the DataOperational segregation; Giving priority to read operations; Capped collections; Data self-expiration; Summary; Chapter 7: Scaling; Scaling out MongoDB with sharding; Choosing the shard key; Basic concerns when choosing a shard key; Scaling a social inbox schema design; Fan out on read; Fan out on write; Fan out on write with buckets; Summary; Chapter 8: Logging and Real-time Analytics with MongoDB; Log data analysis; Error logs; Access logs; What we are looking for; Measuring the traffic on the web server; Designing the schema; Capturing an event request 
505 8 |a A one-document solutionTTL indexes; Sharding; Querying for reports; Summary; Index 
520 |a This book is intended for database professionals, software developers, and architects who have some previous experience with MongoDB and now want to shift their focus to the concepts of data modeling. If you wish to develop better schema designs for MongoDB-based applications, this book is ideal for you. 
546 |a English. 
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