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A to Z MongoDB COURSE I CERTIFICATION I TRAINING

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What will you learn from this course?

Learn how MongoDB stores data.

Master Mongoose JS, the most popular MongoDB interface.

Create data-reading queries that are efficient.

Discover the significance of each of Mongoose's functions.

Create an effective NoSQL schema that includes data layering and lookups.


What is MongoDB?

MongoDB is a cross-platform document-oriented database application that is open source. MongoDB, a NoSQL database tool, employs JSON-like documents with optional schemas. MongoDB was created by MongoDB Inc. and is licensed under the Server-Side Public License (SSPL), which various distributions consider being non-free.

MongoDB is a document-oriented NoSQL database that is used for large-scale data storage. MongoDB employs collections and documents rather than tables and rows as in traditional relational databases. Documents are made up of key-value pairs, which are the fundamental unit of data in MongoDB. Collections are analogous to relational database tables in that they include sets of documents and functions. MongoDB is a database that first appeared in the mid-2000s.


What are the features of MongoDB?

Each database has collections, which in turn include documents. Each document can be unique, with a varied number of fields. Each document's size and content may differ from one another.

The format of the document is more in line with how developers build classes and objects in their different programming languages. Developers frequently claim that their classes do not contain rows and columns, but rather a clear structure with key-value pairs.

The rows (or documents in MongoDB) do not need to have a schema set ahead of time. Fields can be built on the fly instead.

MongoDB's data schema makes it easier to represent hierarchical connections, store arrays, and other more complicated structures.

What are the benefits of using MongoDB?
Speed and Trans actionality

Because of its JSON-like document format, MongoDB's most well-known feature is its versatile data store. MongoDB maintains records as collections of documents (particularly BSON documents). A database contains one or more document collections.

Because a document-based data model may represent rich, hierarchical data structures, it is frequently possible to model data without the complex multi-table joins imposed by relational databases. Assume you're creating products for an e-commerce web application. A completely normalized relational data model may contain numerous tables containing product information. If you wish to get a product representation from the database shell, you must perform a complex SQL query with several joins. As a result, database setup can be highly complex, slowing both development time and the finished product.

A document database, on the other hand, allows the product's information to be modeled within a single document. Furthermore, the JSON-like format specifies a clear hierarchy of the products. Furthermore, MongoDB's query capabilities are specifically intended for processing both structured documents and unstructured data, making it simple to use.

MongoDB also provides an easy approach to searching data with text, geographic, or time-series dimensions. Furthermore, MongoDB contains data analysis tools such as support for numerous concurrent queries, indexing, and aggregation. MongoDB has recently added support for distributed, multi-document, multi-collection, multi-database, and multi-shard transactions with a high level of data integrity.

High availability and scalability

As web apps, sites, and services grow in popularity and traffic, it is critical to ensure that the databases that power them are scalable enough to meet user expectations. Horizontal scaling is adding new servers to divide the load over many nodes.

MongoDB's sharding and replica set features allow for horizontal scaling of the database. These scalability characteristics also benefit fault tolerance in a MongoDB database implementation.

Modern web applications' scalability and high availability allow them to handle a high workload, provide constant response times, simplify system maintenance, and save operating expenses. Furthermore, apps should be able to accommodate a rising number of concurrent users. These scalability requirements are featuring that MongoDB can support with its horizontal scale-out architecture. Implementing them in web apps can provide several benefits to businesses and is thus critical.

 

Why should we use MongoDB?

Here are a few of the reasons why you should start utilizing MongoDB.

Document-oriented - Because MongoDB is a NoSQL database, it stores data in documents rather than in relational tables. This makes MongoDB extremely adaptive to real-world business situations and requirements.

Ad hoc queries - MongoDB allows you to search by field, range, or regular expression. Specific fields within documents can be returned through queries.

Indexing - Indexes can be developed to improve the performance of MongoDB searches. A MongoDB document's fields can all be indexed.

Replication - With replica sets, MongoDB can achieve high availability. A replica set is made up of at least two mongo DB instances. At any point, any member of the replica set may assume the position of the primary or secondary replica. The primary replica is the main server that communicates with the client and handles all read/write activities. Secondary replicas use built-in replication to keep a copy of the primary data. When a primary replica fails, the replica set shifts to the secondary, which then becomes the primary server.

Load balancing - MongoDB scales horizontally by distributing data across several MongoDB instances using the notion of sharding. MongoDB can be distributed across numerous servers, balancing the demand and/or replicating data to keep the system operational in the event of hardware failure.


What is the salary of a MongoDB developer?

The average annual salary for a MongoDB Developer in the United States is $130,856. In case you need a quick salary calculator that works out to about $62.91 per hour. This equates to $2,516 each week or $10,904 per month.

 

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Course Syllabus

Getting Started 11 lectures 17 mins
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