MongoDB Recipes
With Data Modeling and Query Building Strategies
(Sprache: Englisch)
Get the most out of MongoDB using a problem-solution approach. This book starts with recipes on the MongoDB query language, including how to query various data structures stored within documents. These self-contained code examples allow you to solve your...
Voraussichtlich lieferbar in 3 Tag(en)
versandkostenfrei
Buch (Kartoniert)
49.49 €
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenlose Rücksendung
Produktdetails
Produktinformationen zu „MongoDB Recipes “
Klappentext zu „MongoDB Recipes “
Get the most out of MongoDB using a problem-solution approach. This book starts with recipes on the MongoDB query language, including how to query various data structures stored within documents. These self-contained code examples allow you to solve your MongoDB problems without fuss.MongoDB Recipes describes how to use advanced querying in MongoDB, such as indexing and the aggregation framework. It demonstrates how to use the Compass function, a GUI client interacting with MongoDB, and how to apply data modeling to your MongoDB application. Yoüll see recipes on the latest features of MongoDB 4 allowing you to manage data in an efficient manner using MongoDB.What You Will Learn Work with the MongoDB document model Design MongoDB schemas Use the MongoDB query language Harness the aggregation framework Create replica sets and sharding in MongoDB Who This Book Is ForDevelopers and professionals who work with MongoDB.
Inhaltsverzeichnis zu „MongoDB Recipes “
Chapter 1: MongoDB Features and InstallationChapter Goal: In this chapter, you will learn NoSQL databases, CAP theorem, MongoDB Features and MongoDB tools. This chapter will also cover installation of MongoDB and its associated tools.
Sub Topics:
NoSQL Databases and Categories
CAP Theorem
MongoDB Features
MongoDB Tools
Describe JSON and BSON
Installing MongoDB on Windows, Linux
MongoDB Terms
MongoDB Data Types
Chapter 2: CRUD Operations
Chapter Goal: In this chapter, you will learn how to perform CRUD operations with MongoDB. This chapter also help you to understand how to query embedded documents and arrays.
Sub Topics:
Basic CRUD operations
Query Embedded Documents
Query Arrays
Bulk Write Operations
Chapter 3: Data Modelling
Chapter Goal: In this chapter, you will learn schema design and various data modelling patterns in MongoDB.
Sub Topics:
Data Modelling Concepts
Data Model Patterns
Model Relationship between documents
Model Tree Structures Chapter 4: Indexing and Aggregation Framework
Chapter Goal: In this chapter, you will learn indexes types and Aggregation Framework in MongoDB.
Sub Topics:
Introduction to indexes
Index Types
Creating Indexes
Introduction to Aggregation Framework
Aggregation Framework Types
Chapter 5: MongoDB Replication and Sharding
Chapter Goal: In this chapter, you will learn the replication set up and sharding set up.
Sub Topics:
Replication Concepts
Master Slave Replication
Replication Setup
Introduction to Sharding and concepts
Shard Setup
Types of Sharding
Chapter 6: MongoDB Transaction
Chapter Goal: In this chapter, you will learn transactions in
... mehr
MongoDB.
Sub Topics:
Atomicity
Multi-Document Transaction
Concurrency Control
Chapter 7: MongoDB Administration
Chapter Goal: In this chapter, you will learn Database Profiler, MongoDB Backup Methods and Monitoring MongoDB.
Sub Topics:
Database Profiler
MongoDB Backup Methods
Monitoring MongoDB
Chapter 8: MongoDB Security
Chapter Goal: In this chapter, you will learn security aspects of MongoDB.
Sub Topics:
Creating Users
Creating and Assigning custom roles Authenticating Server
Sub Topics:
Atomicity
Multi-Document Transaction
Concurrency Control
Chapter 7: MongoDB Administration
Chapter Goal: In this chapter, you will learn Database Profiler, MongoDB Backup Methods and Monitoring MongoDB.
Sub Topics:
Database Profiler
MongoDB Backup Methods
Monitoring MongoDB
Chapter 8: MongoDB Security
Chapter Goal: In this chapter, you will learn security aspects of MongoDB.
Sub Topics:
Creating Users
Creating and Assigning custom roles Authenticating Server
... weniger
Autoren-Porträt von Subhashini Chellappan, Dharanitharan Ganesan
Subhashini Chellappan is a technology enthusiast with expertise in the big data and cloud space. She has rich experience in both academia and the software industry. Her areas of interest and expertise are centered on business intelligence, big data analytics and cloud computing. Dharanitharan Ganesan is an MBA in Technology management with high level of exposure and experience in big data - Apache Hadoop, Apache Spark and various Hadoop ecosystem components. He has a proven track record of improving efficiency and productivity through the automation of various routine and administrative functions in business intelligence and big data technologies. His areas of interest and expertise are centered on machine learning algorithms, Blockchain in Bigdata, statistical modelling and predictive analytics.
Bibliographische Angaben
- Autoren: Subhashini Chellappan , Dharanitharan Ganesan
- 2019, 1st ed., XVII, 247 Seiten, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 1484248902
- ISBN-13: 9781484248904
- Erscheinungsdatum: 16.12.2019
Sprache:
Englisch
Kommentar zu "MongoDB Recipes"
Schreiben Sie einen Kommentar zu "MongoDB Recipes".
Kommentar verfassen