It is an open-source, cross-platform, document-oriented database written in C++ programming language.MongoDB database allows functioning such as insert, update, delete, query, projection, sort () and limit () methods, create and drop collection and many to list.
Mongodb is a document-oriented NoSQL database mainly used for high volume data storage.
MongoDB is a database which came into existence around the mid year of 2000s. It falls under the category of a NoSQL database.
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Despite having the similar functionality with the other NoSQL technologies, MongoDB has created a distinctive place for itself. How and why? Read below :
Over a decade MySQL has enjoyed its supremacy as it was an inexpensive and widely used relational database management system for storing the structured data. However with the advent of digital age the data has not remained limited to a single type but can be in any form and in massive amounts. MongoDB is one the new age databases that solves some of the conventional issues.
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|Data Models||Many alternative data models||Relational database management system|
|Operations||Supports atomicity||Transactional relation data store|
|Query Language||JSON query||SQL|
|Performance Enhancement by||Server-side scripting||Stored procedures implemented|
|Scalability||Highly scale||Not Scalable|
This tutorial is a quick tour on MongoDB operations and concepts. It covers step-by step installation of MongoDB framework on your system or VMware. While you start working in the professional environment, no organization teaches the installation process. Thus, it is a virtual tutor to help you successfully institute the software.
It further includes tutoring on data administration, aggregation, replication, sharding and working with indexes. Along with elementary conceptual knowledge, you gain understanding of data models and document structure in MongoDB. Since it is an online tutorial, you can learn anytime from anywhere and on any of your devices-laptop, mobile phone, tablets. Our learning packages support both android and iOS, offering the ease of accession.
In the end, it focuses on imparting tips to using MongoDB as per data requirements and handling it when some failures or system crashes occur. It gives you the complete know-how of working with this contemporary yet popular database.
MongoDB is known as a document database. Each database in the main database contains collections which in turn contains documents. Each document fetched may be different with varying number of fields. The size and content of each document can vary from each other. The document structure is based on how developers construct their classes and objects with Read More
MongoDB supports many platforms like Linux and Windows with 64-bit architecture for production and 64/32-bit architectures for testing purpose. Let's learn how MongoDB is installed on Linux platform - MongoDB installation on Linux The installation packages of 64 and 32 bits are available on the web for Linux. In order to install the tool, you need to Read More
imply to the fundamental operations supported by MongoDB, which are Create, Read, Update, and Delete. Take a look at each of these operations below - Create operation - Create operation or Insert operation are used to add new documents to the collection and if the collection does not exist, it creates one. Following command can insert Read More
MongoDB stores data in the form of BSON -Binary encoded JSON documents which supports a huge rich collection of types. Namely Fields in BSON documents may hold arrays of values or embedded documents as requirement. In MongoDB the data base construct in such a way as a group of related collections. Each database has a Read More
The administration documentation addresses the ongoing operation and maintenance of MongoDB instances and deployments. This documentation includes both high level overviews of these concerns as well as tutorials that cover specific procedures and processes for operating MongoDB. 5.1 Administration Concepts The core administration documents address strategies and practices used in the operation of MongoDB Read More
Security of data is paramount and therefore it is very much important to exercise control over access to the database. Though there is a long list of ways in which you can do this, but some of the important tips to help you secure your data are mentioned below : Do not connect your Read More
Aggregation operation process the data records and provide the outcomes after computation. Able to perform a variety of operations, Aggregation operations combine the values from various sources and group the outcome into a single result. Aggregate () method This method is used to perform aggregation operations using following command - >db.COLLECTION_NAME.aggregate(AGGREGATE_OPERATION) Pipeline concept Read More
Indexes provide high performance read operations for frequently used queries. It includes indexes in MongoDB, describes the types and configuration options for indexes, and describes special types of indexing MongoDB supports. The section also provides tutorials detailing procedures and operational concerns, and providing information on how applications may use indexes. Basically the indexes in MongoDB Read More
Replication is the procedure of synchronizing the data across different servers. This feature increases data availability and provides redundancy. It secures the database from significant failure due to server downtime. Not only this, Replication helps recover the database from a system failure by keeping additional copies of data. MongoDB uses replica set which is a Read More
Database Sharding is considered to be the horizontal partitioning of a database or the search engine where each partition is called as a Shard. This is a process of compressing the data collections by splitting the database instances across multiple databases. This in turn fastens the speed of MongoDB CRUD operations. MongoDB creates Shard keys which distribute Read More
Tip 1: Normalize if you need to future-proof data Normalization “future-proofs” your data: you should be able to use normalized data for different applications that will query the data in different ways in the future. This assumes that you have some data set that application after application, for years and years, will have to use. There are Read More
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