Description

Type

Course

Methodology

Online

Simplilearn is the World’s Largest Certification Training Provider, with over 400,000+ professionals trained globally
Trusted by the Fortune 500 companies as their learning provider for career growth and training
2000+ certified and experienced trainers conduct trainings for various courses across the globe
All our Courses are designed and developed under a tried and tested Unique Learning Framework that is proven to deliver 98.6% pass rate in first attempt.

Questions & Answers

Ask a question and other users will answer you

Who do you want to respond to your question/enquiry?

All
Students
Centre

We will only publish your name and question

This centre's achievements

2017

2016

How do you get the CUM LAUDE seal?

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 5 years

Course programme

Course Preview Course Agenda

MongoDB Developer and Administrator
- Lesson 0 - Course Introduction
  - 0.1 Course Introduction
  - 0.2 Table of Contents
  - 0.3 Objectives
  - 0.4 Course Overview
  - 0.5 Value to Professionals and Organizations
  - 0.6 Course Prerequisites
  - 0.7 Lessons Covered
  - 0.8 Conclusion
- Lesson 1 - Introduction to NoSQL databases
  - 1.1 NoSQL Database Introduction
  - 1.2 Objectives
  - 1.3 What is NoSQL?
  - 1.4 What is NoSQL?(contd.)
  - 1.5 Why NoSQL?
  - 1.6 Difference Between RDBMS and NoSQL Databases
  - 1.7 Benefits of NoSQL
  - 1.8 Benefits of NoSQL (contd.)
  - 1.9 Types of NoSQL
  - 1.10 Key-Value Database
  - 1.11 Key-Value Database (contd.)
  - 1.12 Document Database
  - 1.13 Document Database Example
  - 1.14 Column-Based Database
  - 1.15 Column-Based Database (contd.)
  - 1.16 Column-Based Database (contd.)
  - 1.17 Column-Based Database Example
  - 1.18 Graph Database
  - 1.19 Graph Database (contd.)
  - 1.20 CAP Theorem
  - 1.21 CAP Theorem (contd.)
  - 1.22 Consistency
  - 1.23 Availability
  - 1.24 Partition Tolerance
  - 1.25 Mongo DB as Per CAP
  - 1.26 Quiz
  - 1.27 Summary
  - 1.28 Conclusion
- Lesson 2 - MongoDB A Database for the Modern Web
  - 2.1 MongoDB-A Database for the Modern Web
  - 2.2 Objectives
  - 2.3 What is MongoDB?
  - 2.4 JSON
  - 2.5 JSON Structure
  - 2.6 BSON
  - 2.7 MongoDB Structure
  - 2.8 Document Store Example
  - 2.9 MongoDB as a Document Database
  - 2.10 Transaction Management in MongoDB
  - 2.11 Easy Scaling
  - 2.12 Scaling Up vs. Scaling Out
  - 2.13 Vertical Scaling
  - 2.14 Horizontal Scaling
  - 2.15 Features of MongoDB
  - 2.16 Secondary Indexes
  - 2.17 Replication
  - 2.18 Replication (contd.)
  - 2.19 Memory Management
  - 2.20 Replica Set
  - 2.21 Auto Sharding
  - 2.22 Aggregation and MapReduce
  - 2.23 Collection and Database
  - 2.24 Schema Design and Modeling
  - 2.25 Reference Data Model
  - 2.26 Reference Data Model Example
  - 2.27 Embedded Data Model
  - 2.28 Embedded Data Model Example
  - 2.29 Data Types
  - 2.30 Data Types (contd.)
  - 2.31 Data Types (contd.)
  - 2.32 Core Servers of MongoDB
  - 2.33 MongoDB's Tools
  - 2.34 Installing MongoDB on Linux
  - 2.35 Installing MongoDB on Linux
  - 2.36 Installing MongoDB on Windows
  - 2.37 Installing MongoDB on Windows
  - 2.38 Starting MongoDB On Linux
  - 2.39 Starting MongoDB On Linux
  - 2.40 Starting MongoDB On Windows
  - 2.41 Starting MongoDB On Windows
  - 2.42 Use Cases
  - 2.43 Use Cases (contd.)
  - 2.44 Quiz
  - 2.45 Summary
  - 2.46 Conclusion
- Lesson 3 - CRUD Operations in MongoDB
  - 3.1 CRUD Operations in MongoDB
  - 3.2 Objectives
  - 3.3 Data Modification in MongoDB
  - 3.4 Batch Insert in MongoDB
  - 3.5 Ordered Bulk Insert
  - 3.6 Performing Ordered Bulk Insert
  - 3.7 Performing Ordered Bulk Insert
  - 3.8 Unordered Bulk Insert
  - 3.9 Performing Un-ordered Bulk Insert
  - 3.10 Performing Un-ordered Bulk Insert
  - 3.11 Inserts: Internals and Implications
  - 3.12 Performing an Insert Operation
  - 3.13 Performing an Insert Operation
  - 3.14 Retrieving the documents
  - 3.15 Specify Equality Condition
  - 3.16 Retrieving Documents by Find Query
  - 3.17 Retrieving Documents by Find Query
  - 3.18 $in, $or , and “AND” Conditions
  - 3.19 $or Operator
  - 3.20 Specify AND/OR Conditions
  - 3.21 Retrieving Documents by Using FindOne, AND/OR Conditions
  - 3.22 Retrieving Documents by Using FindOne, AND/OR Conditions
  - 3.23 Regular Expression
  - 3.24 Array Exact Match
  - 3.25 Array Projection Operators
  - 3.26 Retrieving Documents for Array Fields
  - 3.27 Retrieving Documents for Array Fields
  - 3.28 $Where Query
  - 3.29 Cursor
  - 3.30 Cursor (contd.)
  - 3.31 Cursor (contd.)
  - 3.32 Retrieving Documents Using Cursor
  - 3.33 Retrieving Documents Using Cursor
  - 3.34 Pagination
  - 3.35 Pagination: Avoiding Larger Skips
  - 3.36 Advance query option
  - 3.37 Update Operation
  - 3.38 Updating Documents in MongoDB
  - 3.39 Updating Documents in MongoDB
  - 3.40 $SET
  - 3.41 Updating Embedded Documents in MongoDB
  - 3.42 Updating Embedded Documents in MongoDB
  - 3.43 Updating Multiple Documents in MongoDB
  - 3.44 Updating Multiple Documents in MongoDB
  - 3.45 $Unset and $inc Modifiers
  - 3.46 $inc modifier to increment and decrement
  - 3.47 $inc modifier to increment and decrement
  - 3.48 Replacing Existing Document with New Document
  - 3.49 Replacing Existing Document with New Document
  - 3.50 $Push and $addToSet
  - 3.51 Positional Array Modification
  - 3.52 Adding Elements into Array Fields
  - 3.53 Adding Elements into Array Fields
  - 3.54 Adding Elements to Array Fields Using AddToSet
  - 3.55 Adding Elements to Array Fields Using AddToSet
  - 3.56 Performing AddToSet
  - 3.57 Performing AddToSet
  - 3.58 Upsert
  - 3.59 Removing Documents
  - 3.60 Performing Upsert and Remove Operation
  - 3.61 Performing Upsert and Remove Operation
  - 3.62 Quiz
  - 3.63 Summary
  - 3.64 Conclusion
- Lesson 4 - Indexing and Aggregation
  - 4.1 Indexing and Aggregation
  - 4.2 Objectives
  - 4.3 Introduction to Indexing
  - 4.4 Types of Index
  - 4.5 Properties of Index
  - 4.6 Single Field Index
  - 4.7 Single Field Index on Embedded Document
  - 4.8 Compound Indexes
  - 4.9 Index Prefixes
  - 4.10 Sort Order
  - 4.11 Ensure Indexes Fit RAM
  - 4.12 Multi-Key Indexes
  - 4.13 Compound Multi-Key Indexes
  - 4.14 Hashed Indexes
  - 4.15 TTL Indexes
  - 4.16 Unique Indexes
  - 4.17 Sparse Indexes
  - 4.18 Demo—Create Compound, Sparse, and Unique Indexes
  - 4.19 Demo-Create Compound, Sparse, and Unique Indexes
  - 4.20 Text Indexes
  - 4.21 Demo—Create Single Field and Text Index
  - 4.22 Demo—Create Single Field and Text Index
  - 4.23 Text Search
  - 4.24 Index Creation
  - 4.25 Index Creation (contd.)
  - 4.26 Index Creation on Replica Set
  - 4.27 Remove Indexes
  - 4.28 Modify Indexes
  - 4.29 Demo—Drop and Index from a Collection
  - 4.30 Demo—Drop and Index from a Collection
  - 4.31 Rebuild Indexes
  - 4.32 Listing Indexes
  - 4.33 Demo—Retrieve Indexes for a Collection and Database
  - 4.34 Demo—Retrieve Indexes for a Collection and Database
  - 4.35 Measure Index Use
  - 4.36 Demo—Use Mongo Shell Methods to Monitor Indexes
  - 4.37 Demo—Use Mongo Shell Methods to Monitor Indexes
  - 4.38 Control Index Use
  - 4.39 Demo—Use the Explain, $Hint and $Natural Operators to Create Index
  - 4.40 Demo—Use the Explain, $Hint and $Natural Operators to Create Index
  - 4.41 Index Use Reporting
  - 4.42 Geospatial Index
  - 4.43 Demo—Create Geospatial Index
  - 4.44 Demo—Create Geospatial Index
  - 4.45 MongoDB’s Geospatial Query Operators
  - 4.46 Demo—Use Geospatial Index in a Query
  - 4.47 Demo—Use Geospatial Index in a Query
  - 4.48 $GeoWith Operator
  - 4.49 Proximity Queries in MongoDB
  - 4.50 Aggregation
  - 4.51 Aggregation (contd.)
  - 4.52 Pipeline Operators and Indexes
  - 4.53 Aggregate Pipeline Stages
  - 4.54 Aggregate Pipeline Stages (contd.)
  - 4.55 Aggregation Example
  - 4.56 Demo—Use Aggregate Function
  - 4.57 Demo—Use Aggregate Function
  - 4.58 MapReduce
  - 4.59 MapReduce (contd.)
  - 4.60 MapReduce (contd.)
  - 4.61 Demo—Use MapReduce in MongoDB
  - 4.62 Demo—Use MapReduce in MongoDB
  - 4.63 Aggregation Operations
  - 4.64 Demo—Use Distinct and Count Methods
  - 4.65 Demo—Use Distinct and Count Methods
  - 4.66 Aggregation Operations (contd.)
  - 4.67 Demo—Use the Group Function
  - 4.68 Demo—Use the Group Function
  - 4.69 Quiz
  - 4.70 Summary
  - 4.71 Conclusion
- Lesson 5 - Replication and Sharding
  - 5.1 Replication and Sharding
  - 5.2 Objectives
  - 5.3 Introduction to Replication
  - 5.4 Master-Slave Replication
  - 5.5 Replica Set in MongoDB
  - 5.6 Replica Set in MongoDB (contd.)
  - 5.7 Automatic Failover
  - 5.8 Replica Set Members
  - 5.9 Priority 0 Replica Set Members
  - 5.10 Hidden Replica Set Members
  - 5.11 Delayed Replica Set Members
  - 5.12 Delayed Replica Set Members (contd.)
  - 5.13 Demo—Start a Replica Set
  - 5.14 Demo-Start a Replica Set
  - 5.15 Write Concern
  - 5.16 Write Concern (contd.)
  - 5.17 Write Concern Levels
  - 5.18 Write Concern for a Replica Set
  - 5.19 Modify Default Write Concern
  - 5.20 Read Preference
  - 5.21 Read Preference Modes
  - 5.22 Blocking for Replication
  - 5.23 Tag Set
  - 5.24 Configure Tag Sets for Replica set
  - 5.25 Replica Set Deployment Strategies
  - 5.26 Replica Set Deployment Strategies (contd.)
  - 5.27 Replica Set Deployment Patterns
  - 5.28 Oplog File
  - 5.29 Replication State and Local Database
  - 5.30 Replication Administration
  - 5.31 Demo—Check a Replica Set Status
  - 5.32 Demo—Check a Replica Set Status
  - 5.33 Sharding
  - 5.34 When to Use Sharding?
  - 5.35 What is a Shard?
  - 5.36 What is a Shard Key
  - 5.37 Choosing a Shard Key
  - 5.38 Ideal Shard Key
  - 5.39 Range-Based Shard Key
  - 5.40 Hash-Based Sharding
  - 5.41 Impact of Shard Keys on Cluster Operation
  - 5.42 Production Cluster Architecture
  - 5.43 Config Server Availability
  - 5.44 Production Cluster Deployment
  - 5.45 Deploy a Sharded Cluster
  - 5.46 Add Shards to a Cluster
  - 5.47 Demo—Create a Sharded Cluster
  - 5.48 Demo—Create a Sharded Cluster
  - 5.49 Enable Sharding for Database
  - 5.50 Enable Sharding for Collection
  - 5.51 Enable Sharding for Collection (contd.)
  - 5.52 Maintaining a Balanced Data Distribution
  - 5.53 Splitting
  - 5.54 Chunk Size
  - 5.55 Special Chunk Type
  - 5.56 Shard Balancing
  - 5.57 Shard Balancing (contd.)
  - 5.58 Customized Data Distribution with Tag Aware Sharding
  - 5.59 Tag Aware Sharding
  - 5.60 Add Shard Tags
  - 5.61 Remove Shard Tags
  - 5.62 Quiz
  - 5.63 Summary
  - 5.64 Conclusion
- Lesson 6 - Developing Java and Node JS Application with MongoDB
  - 6.1 Developing Java and Node JS Application with MongoDB
  - 6.2 Objectives
  - 6.3 Capped Collection
  - 6.4 Capped Collection Creation
  - 6.5 Capped Collection Creation (contd.)
  - 6.6 Demo—Create a Capped Collection in MongoDB
  - 6.7 Demo—Create a Capped Collection in MongoDB
  - 6.8 Capped Collection Restriction
  - 6.9 TTL Collection Features
  - 6.10 Demo—Create TTL Indexes
  - 6.11 Demo—Create TTL Indexes
  - 6.12 GridFS
  - 6.13 GridFS Collection
  - 6.14 Demo—Create GridFS in MongoDB Java Application
  - 6.15 Demo—Create GridFS in MongoDB Java Application
  - 6.16 MongoDB Drivers and Client Libraries
  - 6.17 Develop Java Application with MongoDB
  - 6.18 Connecting to MonogDB from Java Program
  - 6.19 Create Collection From Java Program
  - 6.20 Insert Documents From Java Program
  - 6.21 Insert Documents Using Java Code Example
  - 6.22 Demo—Insert a Document Using Java
  - 6.23 Demo—Insert a Document Using Java
  - 6.24 Retrieve Documents Using Java Code
  - 6.25 Demo—Retrieve Document Using Java
  - 6.26 Demo—Retrieve Document Using Java
  - 6.27 Update Documents Using Java Code
  - 6.28 Demo—Update Document Using Java
  - 6.29 Demo—Update Document Using Java
  - 6.30 Delete Documents Using Java Code
  - 6.31 Demo—Delete Document Using Java
  - 6.32 Demo—Delete Document Using Java
  - 6.33 Store Images Using GridFS API
  - 6.34 Retrieve Images Using GridFS API
  - 6.35 Remove Image Using GridFS API
  - 6.36 Remove Image Using GridFS API (contd..)
  - 6.37 Connection Creation Using Node JS
  - 6.38 Insert Operations Using Node JS
  - 6.39 Insert Operations Using Node JS (contd.)
  - 6.40 Demo—Perform CRUD Operation in Node JS
  - 6.41 Demo—Perform CRUD Operation in Node JS
  - 6.42 Demo—Perform Insert and Retrieve Operations Using Node JS
  - 6.43 Demo—Perform Insert and Retrieve Operations Using Node JS
  - 6.44 Update Operations Using Node JS
  - 6.45 Retrieve Documents Using Node JS
  - 6.46 Using DB Cursor to Retrieve Documents
  - 6.47 Mongoose ODM Module in Node JS
  - 6.48 Defining Schema Using Mongoose
  - 6.49 Defining Schema Using Mongoose (contd.)
  - 6.50 Demo—Use Mongoose to Define Schema
  - 6.51 Demo—Use Mongoose to Define Schema
  - 6.52 Demo—How to Run Node JS Using Mongoose
  - 6.53 Demo—How to Run Node JS Using Mongoose
  - 6.54 Quiz
  - 6.55 Summary
  - 6.56 Conclusion
- Lesson 7 - Administration of MongoDB Cluster Operations
  - 7.1 Administration of MongoDB Cluster Operations
  - 7.2 Objectives
  - 7.3 Capped Collection
  - 7.4 Capped Collection Creation
  - 7.5 Capped Collection Creation (contd.)
  - 7.6 Demo-Create a Capped Collection in MongoDB
  - 7.7 Demo-Create a Capped Collection in MongoDB
  - 7.8 Capped Collection Restriction
  - 7.9 TTL Collection Features
  - 7.10 Demo-Create TTL Indexes
  - 7.11 Demo-Create TTL Indexes
  - 7.12 GridFS
  - 7.13 GridFS Collection
  - 7.14 Demo-Create GridFS in MongoDB Java Application
  - 7.15 Demo-Create GridFS in MongoDB Java Application
  - 7.16 Memory-Mapped Files
  - 7.17 Journaling Mechanics
  - 7.18 Storage Engines
  - 7.19 MMAPv1 Storage Engine
  - 7.20 WiredTiger Storage Engine
  - 7.21 WiredTiger Compression Support
  - 7.22 Power of 2-Sized Allocations
  - 7.23 No Padding Allocation Strategy
  - 7.24 Diagnosing Performance Issues
  - 7.25 Diagnosing Performance Issues (contd.)
  - 7.26 Diagnosing Performance Issues (contd.)
  - 7.27 Demo-Monitor Performance in MongoDB
  - 7.28 Demo-Monitor Performance in MongoDB
  - 7.29 Optimization Strategies for MongoDB
  - 7.30 Configure Tag Sets for Replica Set
  - 7.31 Optimize Query Performance
  - 7.32 Monitoring Strategies for MongoDB
  - 7.33 MongoDB Utilities
  - 7.34 MongoDB Commands
  - 7.35 MongoDB Management service (MMS)
  - 7.36 Data Backup Strategies in MongoDB
  - 7.37 Copying Underlying Data Files
  - 7.38 Backup with MongoDump
  - 7.39 Fsync and Lock
  - 7.40 MongoDB Ops Manager Backup Software
  - 7.41 Security Strategies in MongoDB
  - 7.42 Authentication Implementation in MongoDB
  - 7.43 Authentication in a Replica set
  - 7.44 Authentication on Sharded Clusters
  - 7.45 Authorization
  - 7.46 End-to-End Auditing for Compliance
  - 7.47 Quiz
  - 7.48 Summary
  - 7.49 Conclusion

See related categories

MongoDB Developer and Administrator

Questions & Answers

This centre's achievements

Course programme