MongoDB gives flexibility in compare to RDBMS. It has features like dynamic schemas, storage for large volume data, scaling database architecture, real-time data reporting, data sharding, and so on. It enables to develop application faster. To address all these features in a concise manner, this e-book is created.
This e-book has explained features of MongoDB, that is important from the point of Big data analytics. It makes clear the confusion over MySQL and NoSQL working pattern. It has accommodated all the topics on MongoDB with examples. It guides you right through setting up MongoDB environment to security requirements. The book is too small, but all important aspect of MongoDB is covered. The examples and code are explained in a manner that beginners can easily absorb the content. The book has also illustrated various shell commands to access MongoDB. Not only that, but the user will also explore about JSON document and creating queries in MongoDB.
The book can be used for further reference for application build on MongoDB Java or MongoDB Python. Minimum price range and maximum deliverable is the main plus point of this e-book.
Table content
Chapter 1: Introduction
Chapter 2: Download and Install MongoDB on Windows
Download & Install MongoDB on Windows
Install Driver- Javascript, Python and Ruby
Install Robomongo- MongoDB Management Tool
MongoDB Configuration, Import and Export
Configuring MongoDB server with configuration file
Chapter 3: Create Database & Insert Data
Creating a database
Creating a collection
Chapter 4: Add MongoDB Array using insert()
Chapter 5: ObjectId()
Chapter 6: Query Document using find()
Chapter 7: Cursor
Chapter 8: Query Modifications using limit(), sort()
Chapter 9: Count() & remove() function
Chapter 10: Update() Document
Chapter 11: Indexing, Monitoring & Backup
Chapter 12: How to Create User in Mongodb & assign Roles
Chapter 13: Authentication with Kerberos
Chapter 14: Replica Set
Replica Set: Adding the First Member using rs.initiate()
Replica Set: Adding a Secondary using rs.add()
Replica Set: Reconfiguring or Removing using rs.remove()
Troubleshooting Replica Sets
Chapter 15: Sharded Cluster
Chapter 16: Indexing - createIndex()
Understanding Impact of Indexes
Create Indexes
Finding Indexes
Dropping Indexes
Chapter 17: Regular Expression (Regex)
Using $regex operator for Pattern matching
Pattern Matching with $options
Pattern matching without the regex operator
Fetching last 'n' documents from a collection