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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

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