What you'll learn

Create and configure different types of indexes for different purposes.
Create indexes that support data stored as GeoJSON objects and legacy coordinate pairs.
Build and configure indexes that support full-text searches.
Use aggregation framework in MongoDB
Replica sets, their behavior, operation, and use.
Understand the components of replica sets.
Understand the details of the automatic failover and recovery process with replica sets.
Understand the replication in detail.

Course content

7 sections • 52 lectures • 3h 24m total length

Introduction to Course1:49
This video is about the Introduction to the Course.

1.1 What is Mongo DB1:26
1.2 Overview of Mongo DB2:27
1.3 Features of Mongo DB3:51
1.4 Why use Mongo DB1:14
1.5 Database in Mongo DB1:47
1.6 Collection in Mongo DB3:49
1.7 Document in Mongo DB2:01
1.8 Data Types in Mongo DB2:17
1.9 Terminologies in RDBMS and Mongo DB1:07
1.10 Installation of MongoDB on Windows3:19
1.11 Introduction to Mongo DB shell7:04
1.12 Handson for data types in MongoDB4:03

2.1 Introduction to Indexes4:54
2.2 Default id Indexes3:11
This lecture is about Default id Indexes.
2.3 Single field Indexes7:22
This lecture is about Single field Indexes.
2.4 Compound Indexes7:14
This lecture is about Compound Indexes.
2.5 Multi key Indexes6:36
This lecture is about Multi key Indexes.
2.6 Text Indexes6:33
This lecture is about Text Indexes.
2.7 Geospatial Indexes-2D sphere Indexes13:31
This lecture is about 2D sphere indexes.
2.8 Geospatial Indexes-2D Indexes4:05
This lecture is about 2D Indexes.
2.9 Hashed Indexes2:34
This lecture is about Hashed Indexes.

3.1 Unique Indexes2:50
This lecture is about Unique Indexes.
3.2 Sparse Indexes5:41
This video is about Sparse Indexes.
3.3 TTL Indexes5:03
This lecture is about TTL Indexes.
3.4 Index Creation4:13
In this video we'll discuss about Index Creation.
3.5 Index Management3:33
This lecture is about Index Management.
3.6 Indexing Strategies3:40
This video is about Indexing Strategies.
3.7 Capped Collections9:48
This lecture is about Capped Collections.

4.1 Introduction to Aggregation2:22
This lecture is about Introduction to Aggregation.
4.2 Aggregation Framework1:09
This video is about Aggregation Framework.
4.3 Aggregation Pipeline13:41
This lecture is about Aggregation Pipeline.
4.4 Map Reduce7:58
This lecture is about Map Reduce.
4.5 Single Purpose Aggregation Operations4:16
This lecture is about Single Purpose Aggregation Operations.
4.6 Stages in Aggregation Framework6:56
This video is about Stages in Aggregation Framework.

5.1 Introduction to Replication0:40
This video is about Introduction to Replication.
5.2 Replication Concept3:35
This lecture is about Replication Concept.
5.3 Priority 0 Replica Set Members0:47
This lecture is about Priority 0 Replica Set Members.
5.4 Hidden Replica Set Members0:47
This video is about Hidden Replica Set Members.
5.5 Delayed Replica Set Members1:09
This video is about Delayed Replica Set Members
5.6 Replica Set Arbiter0:48
This video is about Replica Set Arbiter.
5.7 Heartbeats1:17
This video is about Heartbeats.
5.8 Member States3:40
This lecture is about Member States.
5.9 Replica Set Failover0:56
This lecture is about Replica Set Failover.
5.10 Elections in Replication1:39
This lecture is about Elections in Replication.
5.11 Rollback in Replication2:35
This video is about Rollback in Replication.
5.12 Replica Set Configuration14:39
This video is about Replica Set Configuration.

Requirements

PC or MAC
Fundamentals of NoSQL Databases
Basics of MongoDB

Description

MongoDB is a scalable and high-performance open source leading NoSQLdatabase designed to handle document-oriented storage. This course on MongoDB will give you great understanding on MongoDB concepts needed to create and deploy a highly scalable and performance oriented database.

By the completion of this Advanced MongoDB development Course, you will have a strong understanding of how to use the advanced concepts in MongoDB such as Indexing, Aggregation and Replication. In this course we'll cover:

- Single Field Indexes, Compound Indexes and Multikey Indexes

- Geospatial Indexes and Queries

- Text Indexes

- Performing Aggregation operations to group values from multiple documents

- Replication for redundancy, data availability and protecting a database from the loss of a single server.

All the books and PDFs are included, allowing you to follow along with the author throughout the modules in this course.

Who this course is for:

Software Professionals having a basic understanding of MongoDB
Database Developers who want to take yourself at higher level of expertise.
Students who want to be a database developer and administrator

What you'll learn

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Course content

Introductory Video1 lecture • 2min

Module 1: Introduction to MongoDB12 lectures • 34min

MODULE 2: Introduction to Indexes and its Types9 lectures • 56min

MODULE 3: Indexing Features and its Strategies7 lectures • 35min

MODULE 4: Aggregation6 lectures • 36min

MODULE 5: Replication12 lectures • 33min

MODULE 6: Administration5 lectures • 8min

Requirements

Description

Who this course is for: