Comprehensive Course on MongoDB and Data Modeling
Comprehensive Course on MongoDB and Data Modeling, available at $39.99, has an average rating of 3.7, with 101 lectures, based on 57 reviews, and has 417 subscribers.
You will learn about Have in depth understanding of NoSql, JSON and BSON. Have a brief idea about MongoDB. Get familiar with CRUD operations. Perform operations like creating, updating and deleting efficiently. learn about data modelling. This course is ideal for individuals who are This course is meant for newbies who have not been exposed with NoSql databases like MongoDB. or Also working professionals who wish to explore advanced concepts of NoSql cathis coursen go for or The Database Administrator who want to make career in the field of NoSQL It is particularly useful for This course is meant for newbies who have not been exposed with NoSql databases like MongoDB. or Also working professionals who wish to explore advanced concepts of NoSql cathis coursen go for or The Database Administrator who want to make career in the field of NoSQL.
Enroll now: Comprehensive Course on MongoDB and Data Modeling
Summary
Title: Comprehensive Course on MongoDB and Data Modeling
Price: $39.99
Average Rating: 3.7
Number of Lectures: 101
Number of Published Lectures: 101
Number of Curriculum Items: 101
Number of Published Curriculum Objects: 101
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- Have in depth understanding of NoSql, JSON and BSON.
- Have a brief idea about MongoDB.
- Get familiar with CRUD operations.
- Perform operations like creating, updating and deleting efficiently.
- learn about data modelling.
Who Should Attend
- This course is meant for newbies who have not been exposed with NoSql databases like MongoDB.
- Also working professionals who wish to explore advanced concepts of NoSql cathis coursen go for
- The Database Administrator who want to make career in the field of NoSQL
Target Audiences
- This course is meant for newbies who have not been exposed with NoSql databases like MongoDB.
- Also working professionals who wish to explore advanced concepts of NoSql cathis coursen go for
- The Database Administrator who want to make career in the field of NoSQL
MongoDB is a scalable and high-performance open source database designed to handle document-oriented storage. Mongodb is better than relational databases due to scalability and storage related issues. This course on MongoDB drives from complete basics and moves upwards exploring inner details and finally ends up explaining advanced level concepts of this NoSQL database. Along with tutorial lectures, this course also includes separate pdf files which can also be referred by the students. Hands on practicals form an integral part of this MongoDB course. The course covers great details about:
1.NoSql, JSON and BSON
2. Introduction to MongoDB
3. CRUD Operations in MongoDB
4. Data Modelling in MongoDB
5. Data types in MongoDB
6.Embedding in MongoDB
7.DBRefs and Manual Reference in MongoDB
Course Curriculum
Chapter 1: MODULE 1: Introduction to NOSQL Databases
Lecture 1: 1.1 What is NOSQL
Lecture 2: 1.2 History of Databases
Lecture 3: 1.3 Need new kind of database
Lecture 4: 1.4 Features of NOSQL
Lecture 5: 1.5 NOSQL Databases
Lecture 6: 1.6 Benefits of NOSQL Databases
Lecture 7: 1.7 ACID Properties
Lecture 8: 1.8 CAP Theorem
Lecture 9: 1.9 BASE Properties
Lecture 10: 1.10 NOSQL vs RDBMS
Chapter 2: MODULE 2: JSON and BSON
Lecture 1: 2.1 What is JSON
Lecture 2: 2.2 JSON syntax rules
Lecture 3: 2.3 JSON Data types
Lecture 4: 2.4 Example of JSON
Lecture 5: 2.5 What is BSON
Lecture 6: 2.6 How Mongo DB uses BSON
Lecture 7: 2.7 Reasons to use NOSQL
Lecture 8: 2.8 Installation of MongoDB on Windows
Chapter 3: MODULE 3: Introduction to Mongo DB
Lecture 1: 3.1 What is Mongo DB
Lecture 2: 3.2 Overview of Mongo DB
Lecture 3: 3.3 Features of Mongo DB
Lecture 4: 3.4 Why use Mongo DB
Lecture 5: 3.5 Database in Mongo DB
Lecture 6: 3.6 Collection in Mongo DB
Lecture 7: 3.7 Document in Mongo DB
Lecture 8: 3.8 Data Types in Mongo DB
Lecture 9: 3.9 Terminologies in RDBMS and Mongo DB
Lecture 10: 3.10 Introduction to Mongo DB shell
Lecture 11: 3.11 Handson for data types in MongoDB
Chapter 4: MODULE 4: CRUD Operations
Lecture 1: 4.1 CRUD Introduction
Lecture 2: 4.2 Database Operations
Lecture 3: 4.3 CRUD Concept
Lecture 4: 4.4 Types of Read Operations
Lecture 5: 4.5 Write Operations
Lecture 6: 4.6 Create Operations
Lecture 7: 4.7 Read Operations
Lecture 8: 4.8 Delete Operations
Lecture 9: 4.9 Operators used to update
Lecture 10: 4.10 Update Operations
Lecture 11: 4.11 Handson for operators used in mongoDB
Chapter 5: MODULE 5: Data Modelling
Lecture 1: 5.1 Data Modelling Introduction
Lecture 2: 5.2 Data Model Design
Lecture 3: 5.3 Normalized Data Models
Lecture 4: 5.4 Handson for data model design
Lecture 5: 5.5 Operational Factors and Data Models
Lecture 6: 5.6 Introduction to GridFS
Lecture 7: 5.7 GridFS Collection
Lecture 8: 5.8 Hands-ON on GridFS
Lecture 9: 5.9 Model Relationship between Documents
Lecture 10: 5.10 Model Tree Structures
Lecture 11: 5.11 Architecture of Mongo DB
Chapter 6: Books and Pdfs
Lecture 1: What is NoSQL
Lecture 2: History of Databases
Lecture 3: Need new kind of databases
Lecture 4: Features of NoSQL
Lecture 5: NoSQL Databases
Lecture 6: Benefits of NoSQL Databases
Lecture 7: ACID Properties
Lecture 8: CAP Theorem
Lecture 9: BASE Properties
Lecture 10: NoSQL vs.RDBMS
Lecture 11: 2.1 What is JSON
Lecture 12: 2.2 JSON syntax rules
Lecture 13: 2.3 JSON Data types
Lecture 14: 2.4 Example of JSON
Lecture 15: 2.5 What is BSON
Lecture 16: 2.6 How Mongo DB uses BSON
Lecture 17: 2.7 Reasons to use NOSQL
Lecture 18: 3.1 What is Mongo DB
Lecture 19: 3.2 Overview of Mongo DB
Lecture 20: 3.3 Features of Mongo DB
Lecture 21: 3.4 Why use Mongo DB
Lecture 22: 3.5 Database in Mongo DB
Lecture 23: 3.6 Collection in Mongo DB
Lecture 24: 3.7 Document in Mongo DB
Lecture 25: 3.8 Data Types in Mongo DB
Lecture 26: 3.9 Terminologies in RDBMS and Mongo DB
Lecture 27: 3.10 Introduction to Mongo DB shell
Lecture 28: 3.11 Handson for data types in MongoDB
Lecture 29: 4.1 CRUD Introduction
Lecture 30: 4.2 Database Operations
Lecture 31: 4.3 CRUD Concept
Lecture 32: 4.4 Types of Read Operations
Lecture 33: 4.5 Types of Write Operations
Lecture 34: 4.6 Create Operations
Lecture 35: 4.7 Read Operations
Lecture 36: 4.8 Delete Operations
Lecture 37: 4.9 Operators used to update
Lecture 38: 4.10 Update Operations
Lecture 39: 4.11 Handson for operators used in mongodb
Lecture 40: 5.1 Data Modelling Introduction
Lecture 41: 5.2 Data Model Design
Lecture 42: 5.3 Normalized Data Models
Lecture 43: 5.4 Handson for data model design
Instructors
-
Insculpt Technologies
Engraving Intelligence
Rating Distribution
- 1 stars: 7 votes
- 2 stars: 3 votes
- 3 stars: 18 votes
- 4 stars: 11 votes
- 5 stars: 18 votes
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