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Mastering MongoDB 6.x : expert techniques to run high-volume and fault-tolerant database solutions using MongoDB 6.x /
MongoDB is a leading non-relational database. This book covers all the major features of MongoDB including the latest version 6. MongoDB 6.x adds many new features and expands on existing ones such as aggregation, indexing, replication, sharding and MongoDB Atlas tools. Some of the MongoDB Atlas too...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham, UK :
Packt Publishing Ltd.,
2022.
|
| Edición: | Third edition. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 245 | 1 | 0 | |a Mastering MongoDB 6.x : |b expert techniques to run high-volume and fault-tolerant database solutions using MongoDB 6.x / |c Alex Giamas. |
| 250 | |a Third edition. | ||
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| 520 | |a MongoDB is a leading non-relational database. This book covers all the major features of MongoDB including the latest version 6. MongoDB 6.x adds many new features and expands on existing ones such as aggregation, indexing, replication, sharding and MongoDB Atlas tools. Some of the MongoDB Atlas tools that you will master include Atlas dedicated clusters and Serverless, Atlas Search, Charts, Realm Application Services/Sync, Compass, Cloud Manager and Data Lake. By getting hands-on working with code using realistic use cases, you will master the art of modeling, shaping and querying your data and become the MongoDB oracle for the business. You will focus on broadly used and niche areas such as optimizing queries, configuring large-scale clusters, configuring your cluster for high performance and availability and many more. Later, you will become proficient in auditing, monitoring, and securing your clusters using a structured and organized approach. By the end of this book, you will have grasped all the practical understanding needed to design, develop, administer and scale MongoDB-based database applications both on premises and on the cloud. | ||
| 505 | 0 | |a Table of Contents MongoDB A Database for Modern Web Schema Design and Data Modelling MongoDB CRUD operations Auditing Advanced Querying Multi Document ACID Transactions Aggregation Indexing Monitoring, Backup and Security Managing Storage Engines MongoDB Tooling Harnessing Big Data with MongoDB Mastering Replication Mastering Sharding Fault Tolerance and High Availability. | |
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| 650 | 0 | |a Database management. | |
| 650 | 6 | |a Bases de données |x Gestion. | |
| 650 | 7 | |a Database management |2 fast | |
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