MongoDB Developer and Administrator Certification Training

The MongoDB Training throws light on the data analytics topics such as: data modelling, ingestion, query and Sharding, Data Replication with MongoDB along with installing, updating and maintaining MongoDB environment, knowledge on all these topics would make the candidates confident to charge of the data analysis related jobs and accomplish it with accuracy.

The aspirants would learn:

• How to develop an expertise in writing the Java and Node.JS applications by using MongoDB
• How to implement the skills Replication and Sharding of data in MongoDB to optimize read / write performance
• How to Perform the installation, configuration and maintenance of the MongoDB environment
• How to develop the skill sets that help in processing a huge amount of data by using MongoDB tools
• How to store unstructured data in MongoDB
• How to  configure, apply the backup methods and monitor and perform operational strategies
• How to implement the understanding of managing DB Notes, replica set & Master-Slave concepts

Target audience

• Database Administrators
• Database Architects
• Software Developers
• Software Architects
• Project Managers
• Research professionals
• Analytics professionals
• Database Professionals
• IT developers
• Testers
• System Administrators

Prerequisites

To pursue Mongodb developer and administrator certification training the candidates should have:

• The fundamental knowledge of any programming language along with the basic understanding of any of: the database, SQL, and query language for databases.

1. An Overview of the Course

• Introduction to the course
• Table of Contents
• Course Objectives
• Course Overview
• Value to Professionals and Organizations

2. MongoDB A Database for the Modern Web

• MongoDB-A Database for the Modern Web
• Introduction to MongoDB?
• JSON
• JSON Structure
• BSON
• MongoDB Structure
• Document Store Example
• MongoDB as a Document Database
• Transaction Management in MongoDB
• Easy Scaling
• Scaling Up vs. Scaling Out
• Vertical Scaling
• Horizontal Scaling
• Features of MongoDB
• Secondary Indexes
• Replication
• Memory Management
• Replica Set
• Auto Sharding
• Aggregation and MapReduce
• Collection and Database
• Schema Design and Modeling
• Reference Data Model
• Reference Data Model Example
• Embedded Data Model
• Embedded Data Model Example
• Data Types
• Data Types (contd.)
• Data Types (contd.)
• Core Servers of MongoDB
• MongoDB's Tools
• Installing MongoDB on Linux
• Installing MongoDB on Windows
• Starting MongoDB On Linux
• Starting MongoDB On Windows
• Use Cases

3. CRUD Operations in MongoDB

• CRUD Operations in MongoDB
• Objectives
• Data Modification in MongoDB
• Batch Insert in MongoDB
• Ordered Bulk Insert
• Performing Ordered Bulk Insert
• Unordered Bulk Insert
• Performing Un-ordered Bulk Insert
• Inserts: Internals and Implications
• Performing an Insert Operation
• Retrieving the documents
• Specify Equality Condition
• Retrieving Documents by Find Query
• $in, $or, and “AND” Conditions
• $or Operator
• Specify AND/OR Conditions
• Retrieving Documents by Using FindOne, AND/OR Conditions
• Regular Expression
• Array Exact Match
• Array Projection Operators
• Retrieving Documents for Array Fields
• $Where Query
• Cursor
• Retrieving Documents Using Cursor
• Pagination
• Pagination: Avoiding Larger Skips
• Advance query option
• Update Operation
• Updating Documents in MongoDB
• $SET
• Updating Embedded Documents in MongoDB
• Updating Multiple Documents in MongoDB
• $Unset and $inc Modifiers
• $inc modifier to increment and decrement
• Replacing Existing Document with New Document
• $Push and $addToSet
• Positional Array Modification
• Adding Elements into Array Fields
• Adding Elements to Array Fields Using AddToSet
• Performing AddToSet
• Upsert
• Removing Documents
• Performing Upsert and Remove Operation

4. Indexing and Aggregation

• Indexing and Aggregation
• Objectives
• Introduction to Indexing
• Types of Index
• Properties of Index
• Single Field Index
• Single Field Index on Embedded Document
• Compound Indexes
• Index Prefixes
• Sort Order
• Ensure Indexes Fit RAM
• Multi-Key Indexes
• Compound Multi-Key Indexes
• Hashed Indexes
• TTL Indexes
• Unique Indexes
• Sparse Indexes
• Demo—Create Compound, Sparse, and Unique Indexes
• Text Indexes
• Demo—Create Single Field and Text Index
• Text Search
• Index Creation
• Index Creation on Replica Set
• Remove Indexes
• Modify Indexes
• DemoDrop and Index from a Collection
• Rebuild Indexes
• Listing Indexes
• DemoRetrieve Indexes for a Collection and Database
• Measure Index Use
• Demo—Use Mongo Shell Methods to Monitor Indexes
• Control Index Use
• Demo—Use the Explain, $Hint and $Natural Operators to Creation
• Index Use Reporting
• Geospatial Index
• DemoCreate Geospatial Index
• MongoDBs Geospatial Query Operators
• Demo—Use Geospatial Index in a Query
• $GeoWith Operator
• Proximity Queries in MongoDB Aggregation
• Pipeline Operators and Indexes
• Aggregate Pipeline Stages
• The Aggregation Example
• Demo—Use Aggregate Function
• MapReduce
• Demo—Use MapReduce in MongoDB
• Aggregation Operations
• Demo—Use Distinct and Count Methods
• Aggregation Operations (contd.)
• Demo—Use the Group Function

5. Replication and Sharding

• Replication and Sharding
• Objectives
• Introduction to Replication
• Master-Slave Replication
• Replica Set in MongoDB
• Automatic Failover
• Replica Set Members
• Priority 0 Replica Set Members
• Hidden Replica Set Members
• Delayed Replica Set Members
• Demo—Start a Replica Set
• Write Concern
• Write Concern Levels
• Write Concern for a Replica Set
• Modify Default Write Concern
• Read Preference
• Read Preference Modes
• Blocking for Replication
• Tag Set
• Configure Tag Sets for Replica set
• Replica Set Deployment Strategies
• Replica Set Deployment Strategies (contd.)
• Replica Set Deployment Patterns
• Oplog File
• Replication State and Local Database
• Replication Administration
• Demo—Check a Replica Set Status
• Sharding
• When to Use Sharding?
• What is a Shard?
• What is a Shard Key
• Choosing a Shard Key
• Ideal Shard Key
• Range-Based Shard Key
• Hash-Based Sharding
• Impact of Shard Keys on Cluster Operation
• Production Cluster Architecture
• Config Server Availability
• Production Cluster Deployment
• Deploy a Sharded Cluster
• Add Shards to a Cluster
• Demo—Create a Sharded Cluster
• Enable Sharding for Database
• Enable Sharding for Collection
• Enable Sharding for Collection (contd.
• Maintaining a Balanced Data Distribution
• Splitting
• Chunk Size
• Special Chunk Type
• Shard Balancing
• Shard Balancing (contd.)
• Customized Data Distribution with Tag Aware Sharding
• Tag Aware Sharding
• Add Shard Tags
• Remove Shard Tags

6. Developing Java and Node JS Application with MongoDB

• Developing Java and Node JS Application with MongoDB Objectives Capped
• Collection Capped Collection Creation Capped Collection Creation (contd.)
• Demo—Create a Capped Collection in MongoDB
• Capped Collection Restriction
• TTL Collection Features Demo—Create TTL Indexes
• GridFS GridFS Collection Demo—Create GridFS in MongoDB Java Application
• MongoDB Drivers and Client Libraries
• Develop Java Application with MongoDB
• Connecting to MonogDB from Java Program
• Create Collection From Java Program
• Insert Documents From Java Program
• Insert Documents Using Java Code Example
• Demo—Insert a Document Using Java
• Retrieve Documents Using Java Code
• Demo—Retrieve Document Using Java
• Update Documents Using Java Code Demo—
• Update Document Using Java
• Delete Documents Using Java Code
• Demo—Delete Document Using Java
• Store Images Using GridFS API
• Retrieve Images Using GridFS API
• Remove Image Using GridFS API
• Connection Creation Using Node JS
• Insert Operations Using Node JS
• Demo—Perform CRUD Operation in Node JS
• Demo—Perform Insert and Retrieve Operations Using Node JS
• Update Operations Using Node JS Retrieve
• Documents Using Node JS
• Using DB Cursor to Retrieve Documents
• Mongoose ODM Module in Node JS
• Defining Schema Using Mongoose
• Demo—Use Mongoose to Define Schema
• Demo—How to Run Node JS Using Mongoose

7. Administration of MongoDB Cluster Operations

• Administration of MongoDB Cluster Operations
• Objectives
• Capped Collection
• Capped Collection Creation Capped Collection Creation (contd.)
• Demo-Create a Capped Collection in MongoDB
• Capped Collection Restriction
• TTL Collection Features
• Demo-Create TTL Indexes
• Grid FS
• Grid FS Collection
• Demo-Create GridFS in MongoDB Java Application
• Memory-Mapped Files
• Journaling Mechanics
• Storage Engines MMAPv1 Storage Engine
• WiredTiger Storage Engine
• WiredTiger Compression Support
• Power of 2-Sized Allocations
• No Padding Allocation Strategy
• Diagnosing Performance Issues
• Demo-Monitor Performance in MongoDB
• Optimization Strategies for MongoDB
• Configure Tag Sets for Replica Set
• Optimizing the Query Performance
• Monitor the Strategies for MongoDB
• About the MongoDB Utilities
• The MongoDB Commands
• About the MongoDB Management service (MMS)
• Data Backup Strategies in MongoDB
• Copying Underlying Data Files
• Backup with MongoDump
• Fsync and Lock
• MongoDB Ops Manager Backup Software
• Security Strategies in MongoDB
• Authentication Implementation in MongoDB
• Authentication in a Replica set
• Authentication on Sharded Clusters
• Authorization
• End-to-End Auditing for Compliance