Working of MERN stack Application

Components of MERN Stack:

The MERN stack, an acronym for MongoDB, ExpressJS, React, and NodeJS, is a powerful combination of technologies used to develop modern web applications. Here’s a brief introduction of each components of MERN stack....

Advantages of MERN Stack:

The MERN stack offers several advantages for developing modern web applications:...

Working of MERN stack Application:

The MERN architecture allows you to easily construct a three-tier architecture entirely using JavaScript and JSON. These layers are as follows:...

What is data persistence?

Data Persistence is the ability of data to remain available and unchanged beyond the lifespan of a program or system. It ensures that data can be stored, retrieved, and manipulated across different sessions or instances of the application. Persistence mechanisms, such as databases or file systems, facilitate the storage and retrieval of data, making it crucial for applications requiring long-term data storage and sharing....

MongoDB Data Persistence in MERN Stack:

Data persistence in MongoDB ensures reliable storage of data on disk, surviving system shutdowns or restarts. MongoDB achieves this through its storage engine, where data changes are first written to an in-memory cache called WiredTiger and periodically flushed to disk as structured data files....

Persist data at the user level vs. application level:

At the user level, data persistence entails the preservation of information in a manner that is specific to an individual user. This means that only the user who created or owns the data has access to it. Examples of user-level data persistence include personal documents stored in a private folder on a computer, email messages stored in an individual’s mailbox, or settings customized by a user within an application....

Why is data persistence important?

Data persistence plays a crucial role in various aspects of computing and information management due to several key reasons:-...

Persistent vs Non-Persistent data:

Persistent Data Non-persistent Data Persistent data remains stored even after the application or system is shut down. It persists across multiple sessions and can be accessed later. Non-persistent data exists only temporarily during the current session or application runtime. It is typically discarded once the session ends or the application terminates. Persistent data is usually stored in durable storage mediums such as hard drives, solid-state drives, databases, or cloud storage services. Non-persistent data is often stored in volatile memory or temporary storage areas like cache memory or session-specific memory. Persistent data is used for storing critical information that needs to be retained for future reference or analysis, such as user profiles, transaction records, or system configurations. Non-persistent data is used for temporary storage or optimization purposes, such as transient variables, cache data, or session-specific information. Persistent data persists beyond the current session or application runtime and is stored in durable storage mediums. Persistent data is essential for long-term storage and data management Non-persistent data exists only temporarily and is typically stored in volatile memory. Non-persistent data is used for transient storage or performance optimization....

How do you ensure data persistence?

Ensuring data persistence involves implementing strategies and mechanisms to reliably store and retrieve data over time. Here are five important points to consider:...

What are the four device states for persistent storage acquisition?

The four device states for persistent storage acquisition are:...

Can data persistence be achieved using a database system?

Yes, data persistence can be achieved using a database system. In fact, databases are one of the most common and powerful mechanisms for achieving data persistence. Here’s how databases enable data persistence:...