MongoDB: Initiating the Next Step

MongoDB: Initiating the Next Step, available at $19.99, has an average rating of 3.95, with 52 lectures, based on 26 reviews, and has 185 subscribers.

You will learn about 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. This course is ideal for individuals who are Software Professionals having a basic understanding of MongoDB or Database Developers who want to take yourself at higher level of expertise. or Students who want to be a database developer and administrator It is particularly useful for Software Professionals having a basic understanding of MongoDB or Database Developers who want to take yourself at higher level of expertise. or Students who want to be a database developer and administrator.

Enroll now: MongoDB: Initiating the Next Step

Summary

Title: MongoDB: Initiating the Next Step

Price: $19.99

Average Rating: 3.95

Number of Lectures: 52

Number of Published Lectures: 52

Number of Curriculum Items: 52

Number of Published Curriculum Objects: 52

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will 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.

Who Should Attend

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

Target Audiences

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

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.

Course Curriculum

Chapter 1: Introductory Video

Lecture 1: Introduction to Course

Chapter 2: Module 1: Introduction to MongoDB

Lecture 1: 1.1 What is Mongo DB

Lecture 2: 1.2 Overview of Mongo DB

Lecture 3: 1.3 Features of Mongo DB

Lecture 4: 1.4 Why use Mongo DB

Lecture 5: 1.5 Database in Mongo DB

Lecture 6: 1.6 Collection in Mongo DB

Lecture 7: 1.7 Document in Mongo DB

Lecture 8: 1.8 Data Types in Mongo DB

Lecture 9: 1.9 Terminologies in RDBMS and Mongo DB

Lecture 10: 1.10 Installation of MongoDB on Windows

Lecture 11: 1.11 Introduction to Mongo DB shell

Lecture 12: 1.12 Handson for data types in MongoDB

Chapter 3: MODULE 2: Introduction to Indexes and its Types

Lecture 1: 2.1 Introduction to Indexes

Lecture 2: 2.2 Default id Indexes

Lecture 3: 2.3 Single field Indexes

Lecture 4: 2.4 Compound Indexes

Lecture 5: 2.5 Multi key Indexes

Lecture 6: 2.6 Text Indexes

Lecture 7: 2.7 Geospatial Indexes-2D sphere Indexes

Lecture 8: 2.8 Geospatial Indexes-2D Indexes

Lecture 9: 2.9 Hashed Indexes

Chapter 4: MODULE 3: Indexing Features and its Strategies

Lecture 1: 3.1 Unique Indexes

Lecture 2: 3.2 Sparse Indexes

Lecture 3: 3.3 TTL Indexes

Lecture 4: 3.4 Index Creation

Lecture 5: 3.5 Index Management

Lecture 6: 3.6 Indexing Strategies

Lecture 7: 3.7 Capped Collections

Chapter 5: MODULE 4: Aggregation

Lecture 1: 4.1 Introduction to Aggregation

Lecture 2: 4.2 Aggregation Framework

Lecture 3: 4.3 Aggregation Pipeline

Lecture 4: 4.4 Map Reduce

Lecture 5: 4.5 Single Purpose Aggregation Operations

Lecture 6: 4.6 Stages in Aggregation Framework

Chapter 6: MODULE 5: Replication

Lecture 1: 5.1 Introduction to Replication

Lecture 2: 5.2 Replication Concept

Lecture 3: 5.3 Priority 0 Replica Set Members

Lecture 4: 5.4 Hidden Replica Set Members

Lecture 5: 5.5 Delayed Replica Set Members

Lecture 6: 5.6 Replica Set Arbiter

Lecture 7: 5.7 Heartbeats

Lecture 8: 5.8 Member States

Lecture 9: 5.9 Replica Set Failover

Lecture 10: 5.10 Elections in Replication

Lecture 11: 5.11 Rollback in Replication

Lecture 12: 5.12 Replica Set Configuration

Chapter 7: MODULE 6: Administration

Lecture 1: 6.1 Turning Primary into Secondary

Lecture 2: 6.2 Preventing Election

Lecture 3: 6.3 Monitoring Replication

Lecture 4: 6.4 Calculating Lag

Lecture 5: 6.5 Master Slave

Instructors

Insculpt Technologies
Engraving Intelligence

Rating Distribution

1 stars: 2 votes
2 stars: 5 votes
3 stars: 4 votes
4 stars: 6 votes
5 stars: 9 votes

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