MongoDB 4.0 - MongoDB Developer Admin Course

MongoDB 4.0 : MongoDB Developer & Admin Course, available at $34.99, has an average rating of 3, with 149 lectures, based on 50 reviews, and has 394 subscribers.

You will learn about Develop an expertise in writing Java and Node JS applications using MongoDB Master the skills of Replication and Sharding of data in MongoDB to optimize read/write performance Perform installation, configuration, and maintenance of MongoDB environment Get hands-on experience in creating and managing different types of indexes in MongoDB for query execution Develop skill sets in processing huge amounts of data using MongoDB tools Proficiently store unstructured data in MongoDB Gain proficiency in MongoDB configuration, backup methods as well as monitoring and operational strategies Acquire in-depth understanding of managing DB Notes, replica set & Master-Slave concepts This course is ideal for individuals who are This course is ideal for professionals aspiring for a career in NoSQL databases and MongoDB. The course is suited for: Database Administrators, Database Architects, Software Developers, Software Architects, Database Professionals, Project Managers, IT developers, Testers, Analytics professionals, Research professionals, and System Administrators It is particularly useful for This course is ideal for professionals aspiring for a career in NoSQL databases and MongoDB. The course is suited for: Database Administrators, Database Architects, Software Developers, Software Architects, Database Professionals, Project Managers, IT developers, Testers, Analytics professionals, Research professionals, and System Administrators.

Enroll now: MongoDB 4.0 : MongoDB Developer & Admin Course

Summary

Title: MongoDB 4.0 : MongoDB Developer & Admin Course

Price: $34.99

Average Rating: 3

Number of Lectures: 149

Number of Published Lectures: 149

Number of Curriculum Items: 149

Number of Published Curriculum Objects: 149

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Develop an expertise in writing Java and Node JS applications using MongoDB

Master the skills of Replication and Sharding of data in MongoDB to optimize read/write performance

Perform installation, configuration, and maintenance of MongoDB environment

Get hands-on experience in creating and managing different types of indexes in MongoDB for query execution

Develop skill sets in processing huge amounts of data using MongoDB tools

Proficiently store unstructured data in MongoDB

Gain proficiency in MongoDB configuration, backup methods as well as monitoring and operational strategies

Acquire in-depth understanding of managing DB Notes, replica set & Master-Slave concepts

Who Should Attend

This course is ideal for professionals aspiring for a career in NoSQL databases and MongoDB. The course is suited for: Database Administrators, Database Architects, Software Developers, Software Architects, Database Professionals, Project Managers, IT developers, Testers, Analytics professionals, Research professionals, and System Administrators

Target Audiences

This course is ideal for professionals aspiring for a career in NoSQL databases and MongoDB. The course is suited for: Database Administrators, Database Architects, Software Developers, Software Architects, Database Professionals, Project Managers, IT developers, Testers, Analytics professionals, Research professionals, and System Administrators

MongoDB is a distributed Database at its core, so high availability, horizontal scaling, and geographic distribution are built in and easy to use. This course will help you master the leading document-oriented NoSQL database, MongoDB Architecture, CRUD, Schema Design, Data Modelling and Indexing using real-life case studies.?

MongoDB Developer & Admin Course is designed to equip you with skills of a MongoDB experienced professional. You will gain knowledge in mastering data modelling, ingestion, query and Sharding, and much more, to become job ready. The course covers a range of NoSQL and MongoDB topics which will help you gain various development, administering, and engineering skills.?

Why you should buy this course:

Average salary of a Mongo DB certified professional is $134k – Indeed .com

MongoDB has more than 900 customers, including 27 Fortune 100 companies like Cisco, eBay, eHarmony, MetLife & Salesforce .com

This MongoDB course will help you master one of the most popular NoSQL databases.

Let see what our students say:

This is one of the best courses I have taken. It is full of knowledge and gives you a clear understanding of why something is done and the perfect way it can be done. The instructor was great, the best I’ve had. Overall, my experience was amazing with this course and it proved to be great value for money.

–Vaibhav Saini

Course Curriculum

Chapter 1: Module 0

Lecture 1: Introduction to MongoDB Developer and Admin Course

Lecture 2: What is JSON

Lecture 3: 0.2 JSON Syntax Rules

Lecture 4: 0.3 JSON Datatypes

Lecture 5: 0.4 Example of JSON

Lecture 6: 0.5 What is BSON

Chapter 2: Module 1

Lecture 1: 1.1 Introduction to the Course

Lecture 2: 1.2 Introduction to NoSQL

Lecture 3: 1.3 Introduction to MongoDB

Lecture 4: 1.4 Features of MongoDB

Lecture 5: 1.5 Advantages of MongoDB

Lecture 6: 1.6 MySQL vs MongoDB

Lecture 7: 1.7 Cassandra vs MongoDB

Lecture 8: 1.8 CouchDB vs. MongoDB

Lecture 9: 1.9 Redis vs MongoDB

Lecture 10: 1.10 Why and When to use MongoDB

Chapter 3: Module 2

Lecture 1: 2.1 Downloading and Installing MongoDB on Windows

Lecture 2: 2.2 Configure the Mongo Shell

Lecture 3: 2.3 Access the Mongo Shell Help

Lecture 4: 2.4 Mongo Shell Quick Reference

Chapter 4: Module 3

Lecture 1: 3.1 Mapping Relational Databases to MongoDB

Lecture 2: 3.2 Datatypes in MongoDB

Lecture 3: 3.3 Database

Lecture 4: 3.4 Collection

Lecture 5: 3.5 Documents

Lecture 6: 3.6 Comparison or Sort Order

Chapter 5: Module 4

Lecture 1: 4.1 Insert Documents

Lecture 2: 4.2 Query Documents

Lecture 3: 4.2.1 Query on Embedded or Nested Documents

Lecture 4: 4.2.2 Query an Array

Lecture 5: 4.2.3 Query an Array of Embedded Documents

Lecture 6: 4.2.4 Project Fields to Return from Query

Lecture 7: 4.2.5 Query for Null or Missing Fields

Lecture 8: 4.2.6 Iterate a cursor in Mongo Shell

Lecture 9: 4.3 Update Documents

Lecture 10: 4.4 Delete Documents

Lecture 11: 4.5 Bulk Write Operations

Lecture 12: 4.6 Retryable Writes

Lecture 13: 4.7 Text Search

Lecture 14: 4.8 Geospatial Queries

Lecture 15: 4.9 Find Restaurants with Geospatial Queries

Chapter 6: Module 5

Lecture 1: 5.1 Atomicity and Transactions

Lecture 2: 5.2 Read Isolation, Consistency and Recency

Lecture 3: 5.3 Distributed Queries

Lecture 4: 5.4 Linearizable Reads via findAndModify

Lecture 5: 5.5 Query Plans

Lecture 6: 5.6 Query Optimization

Lecture 7: 5.6.1 Evaluate Performance of Current Operations

Lecture 8: 5.6.2 Optimize Query Performance

Lecture 9: 5.6.3 Write Operation Performance

Lecture 10: 5.6.4 Explain Results

Lecture 11: 5.7 Analyze Query Performance

Lecture 12: 5.8 Tailable Cursors

Chapter 7: Module 6

Lecture 1: 6.1 Aggregation Pipeline

Lecture 2: 6.1.2 Example with ZIP Code Data

Lecture 3: 6.1.3 Example with User Preference Data

Lecture 4: 6.2 Map Reduce

Lecture 5: 6.2.1 Map Reduce and Sharded Collections

Lecture 6: 6.2.2 Map Reduce Concurrency

Lecture 7: 6.2.3 Map Reduce Examples

Lecture 8: 6.2.4 Perform Incremental Map Reduce

Lecture 9: 6.2.5 Troubleshoot the Map Function

Lecture 10: 6.2.6 Troubleshoot the Reduce Function

Lecture 11: 6.3 Aggregation Commands Comparison

Lecture 12: 6.4 Variables in Aggregation Expressions

Lecture 13: 6.5 SQL to Aggregation Mapping Chart

Chapter 8: Module 7

Lecture 1: 7.1 Introduction to Data Modeling

Lecture 2: 7.2 Schema Validation

Lecture 3: 7.3 Data Model Design

Lecture 4: 7.4 Operational Factors and Data Models

Lecture 5: 7.6 Model Tree Structures

Lecture 6: 7.7 Model Data for Atomic Operations

Lecture 7: 7.8 Model Data to Support Keyword Search

Lecture 8: 7.9 Model Monetary Data

Lecture 9: 7.10 Model Time Data

Lecture 10: 7.11 Database References

Chapter 9: Module 9

Lecture 1: 9.1 Single Field Indexes

Lecture 2: 9.2 Compound Indexes

Lecture 3: 9.3 Multikey Indexes

Lecture 4: 9.3.1 Multikey Index Bounds

Lecture 5: 9.4 Text Indexes

Lecture 6: 9.4.1 Specify a Language for Text Index

Lecture 7: 9.4.2 Specify Name for text index

Lecture 8: 9.4.3 Control Search Results with Weights

Lecture 9: 9.4.4 Limit the Number of Entries Scanned

Lecture 10: 9.5 2D-sphere Indexes

Lecture 11: 9.6 2D Indexes

Lecture 12: 9.7 geoHaystack Indexes

Lecture 13: 9.8 Hashed Indexes

Lecture 14: 9.9 TTL Indexes

Lecture 15: 9.10 Unique Indexes

Instructors

Edionik Solutions
Serving Technology Simply

Rating Distribution

1 stars: 17 votes

2 stars: 5 votes

3 stars: 10 votes

4 stars: 6 votes

5 stars: 12 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!