Chapter 1: MongoDB Features and Installation
Chapter 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 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
About the Author: 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.
