About Introduction to MongoDB
Introduction to MongoDB is an open source database which is written in C++. It was established in the mid of 2000’s under the NoSQL type. It uses a document-oriented data model. It is built on an architecture of collections and documents instead of rows and tables in other relational databases. The document is a set of key-value pairs and collection is a group of documents. A database is a physical place for collections. It is simple and easily programmable. MongoDB is used for content management systems, mobile apps, gaming, analytics, and logging.
Introduction to MongoDB Key Features
The key features of MongoDB are listed below
- It is Easily scalable
- It is easy to install
- Records can be quickly sorted and ordered
- Rich query
- Map or Reduce Framework for batch processing of data
- It can store very huge data files with the help of its GridFS feature
Advantages of MongoDB
The below listed are the advantages of MongoDB
- The structure of an object is very clear
- There are no complex joins
- It can deal with even dynamic queries
- Schema-less – It is document based where one collection holds different documents and each document differs from the other document.
- It is easily scalable
- There is no need for conversion of application objects to database objects in It
- It enables faster access to data
Pre Requisites for taking this MongoDB Courses
Before taking this MongoDB courses one should have a basic knowledge of database, text editor and other basic concepts of Relational Database Management Systems (RDBMS).
Target Audience for this MongoDB Courses
This MongoDB course is meant for software professionals, database developers and students who are willing to learn MongoDB database in a simple and easy way.
MongoDB Courses Objectives
At the end of this MongoDB courses, you will be able to
- Know the difference between NoSQL and SQL
- Learn the basic installation
- Work with MongoDB like an expert
- Learn about the basic operations and develop your own application
MongoDB Courses Description
Section 1: Overview of NoSQL
Introduction to NoSQL And SQL vs NoSQL
NoSQL actually means “Not only SQL”. NoSQL database is sometimes referred to as non-relational databases or cloud databases which helps in quick analysis of the high volume of data which are of different types. NoSQL is the first alternative to SQL and other relational databases. The NoSQL database has a lot of advantages over the relational databases like scalability, flexibility, availability, schema-less data model, and fault tolerance. There are four types of NoSQL databases. In this chapter, you will learn in detail about NoSQL databases and it types.
SQL databases are called as the Relational Database Management System (RDBMS). This chapter also explains the difference between SQL and NoSQL based on some factors like Data Storage, Schema, flexibility, scalability, ACID compliancy, Tables, Normalization, Data integrity, Relational JOIN and others.
CAP Theorem and ACID-BASE
ACID stands for Atomicity, Consistency, Isolation, and Durability. BASE stands for Basic Availability, Soft state, and Eventual Consistency. MongoDB supports ACID transactions only at the document level. It does not support multi-document transactions. Instead, it supports CAP which stands for Consistency, Availability and Partition Tolerance. The ACID, CAP and BASE transactions in MongoDB are explained in detail under this chapter.
Section 2: Learning about MongoDB Courses Features
Introduction to MongoDB
It is an open source document database which has high performance, high availability and automatic scaling. This database works on the concept of collection and document. The collection is equal to RDBMS table and it contains a group of MongoDB documents whereas a document is a set of key-value pairs. This chapter contains detailed explanations about MongoDB courses, its features, advantages, the terms used and a sample document.
Data Model, Installation, and CRUD
This chapter contains tutorials on the installation of MongoDB. This chapter contains the Supported platforms of MongoDB, Versions of MongoDB, steps to install MongoDB in Windows, Steps to install MongoDB in Linux, Steps to install MongoDB on OS X and MongoDB Help.
The expansion of CRUD is Create, Read, Update and Delete. This chapter contains the following sections on CRUD
- Create Operations – Methods to insert documents into a collection
- Read Operations – methods to read documents from a collection
- Update Operations – Methods to update documents of a collection
- Delete Operations – Methods to delete operations of a collection
- Bulk Write – Ability to perform the write operations in bulk
The data in It has a flexible schema. This flexibility makes the data model match your business requirements. The other sections included in this chapter are
- Data Modelling Introduction
- Data Modelling Concepts
- Data Model Examples and Patterns
- Data model reference
The find() method is used to retrieve data from a collection in MongoDB. The queries in MongoDB have a single collection. You can specify criteria or filter so that the query results will return only those documents which satisfy the criteria. The pretty() method can be used to display the query results in a formatted manner. The other topics covered in this section are
- Conditions using Query operators
- AND in MongoDB
- OR in MongoDB
- Using AND and OR together in MongoDB Query
- Query on embedded documents
- Query on Arrays
- Sort Query Results
- Additional Methods
Memory Mapped File and Replica Set
A memory mapped file is a part of the virtual memory which has a byte to byte correlation with some part of a file. Memory mapped file distributes the virtual memory to the OS instead of managing it by itself. The other topics included in this section is finding out whether the working set is too big.
Replication is the method of joining data across multiple servers. A replica set is a group of MongoDB processes that maintain the same data set. Replication lets you recover from a failure of hardware systems and from any service interruptions. This section contains the following topics under it
- Replication Concepts
- Why replication
- How replication works in MongoDB
- Replica Set features
- Set up a replica set
- Add members to a replica set
- Example of replication
Section 3: Understanding Queries, Operators, and Expressions
Inserting Queries and Search Queries
The insert() method is used to insert data into MongoDB collection. The syntax of the insert() command and an example is given in this chapter.
The $text command is used to perform a text search on the content of the fields. This comes under the evaluation query operators of MongoDB. The fields accepted by the $text operator are $search, $language, $caseSensitive and $diacriticSensitive. The syntax, behavior, and examples of $text operator are explained in detail under this chapter.
The sort() method is used to sort the documents in MongoDB. This method accepts only the documents which contain fields with their sorting order. 1 and -1 are used for sorting the document where 1 is used for ascending sorting and -1 is used for descending order. This chapter also explains the syntax and example of sort() method.
To limit the records in MongoDB the limit() method is used. This method accepts one number argument type which displays only the number of documents you wanted to display. There is also another method in MongoDB called the skip() method which helps to skip the number of documents. The syntax and examples of limit() method and skip() method is explained in this chapter.
In MongoDB, the update() and save() methods are used to update the document into a collection. The update() method is used to update the values of the document whereas the save() method is used to save the existing document. The syntax and examples of update() and save() method are discussed in detail in this chapter.
The remove() method in MongoDB is used to remove the document from the collection. There are two parameters in remove() method – Deletion criteria and justOne. The justOne option is used in the remove() method to delete only one record. If you don’t specify any parameter in the remove() method then the MongoDB will delete all the documents from the collection. The syntax and example for remove() method with just one parameter and without using just One parameter are explained in detail in this chapter.
The conditional operator usually compares two expressions and documents from the MongoDB collection. The conditional operators in MongoDB are
- Greater than
- Less than
- Greater than equal to
- Less than equal to
The conditional aggregation operators in MongoDB are
Each operator is explained in detail with its syntax and example. There are also various other operators in MongoDB which are explained in brief under this chapter
- Query and Projection operators which include comparison query operators, logical query operators, element query operators, evaluation query operators, geospatial query operators, bitwise query operators and projection operators.
- Update operators that contain field update operators, array update operators, bitwise update operators and isolation update operators under it
- Finally, aggregation pipeline operators that include Boolean aggregation operators, Set operators, Comparison Aggregation Operators, Arithmetic Aggregation Operators, String Aggregation Operators, Text Search Aggregation Operators, Array Aggregation Operators, Aggregation variable Operators, Aggregation Literal Operators, Data Aggregation Operators, Conditional Aggregation Operators and Group Accumulator Operators.
The regular expression comes under the Evaluation Query Operators category. Regular expressions are used to find out a specific pattern or a word in a string. The operator used for Regular Expression in It is $regex operator. MongoDB uses Perl Compatible Regular Expression (PCRE) as its regular expression language. The topics covered under this chapter are listed below
- Using regex expression
- Using regex expression with case sensitive
- Using regex expression for array elements
- Optimizing regular expression queries
- Example of MongoDB $regex operator
MongoDB FAQ’s General Questions
- Why is MongoDB useful?
MongoDB helps you to create applications like never before. It is able to handle data of any type and provides all the necessary features to build powerful apps. You can spend more time on the app and build it faster because It takes care of the data. Using It is also cost effective than using a relational database. Thus all these features make It stand ahead from other databases.
- When should MongoDB be used?
It can be used as the primary data store for operational applications. It is used for most of the applications today that are hard to do with relational databases. It can be used in cases of unstructured, semi-structured and polymorphic data. It can be used in the areas of mobile applications, content management, and real-time personalization.
- Which is best to use SQL vs NoSQL?
There is no one system fits all approach. Choosing the right technology is an important decision. In case your data is changing rapidly and your data is growing very fast then you can choose NoSQL. If your data is not changing and there is only a moderate growth in data then you can choose SQL.
MongoDB Courses Testimonials
This is an amazing course on MongoDB which covers all the important topics. After completing this course I was able to work with It like an expert. The contents of the course was easy to understand and it helped me to complete the course successfully. The structure of the MongoDB courses is well organized into different sections. A must course for beginners of MongoDB
Fantastic MongoDB courses. I am quite happy with the course. I learnt a lot from this courses. The MongoDB courses is very concise and without any error. There were few examples provided in thecourse which helped to understand the concepts with ease. The different operators of MongoDB courses was clearly explained. The course is very interesting and rewarding. Definitely recommended.