Convincing Reasons Why MongoDB is a Smart Choice to Work on Big Data

Introduction

With the advancements in technology, almost all the organizations are exploiting the benefits that come with it. This is primarily done to maximize the profits along with reducing the production as well as the operational costs of an organization. Amidst this advancement, the one thing that holds the entire organization firmly on its grounds is the data stored in the system.

This data is considered to be the backbone of the entire set of industries and this data can be used to derive various procedures to achieve certain goals. Moreover, when a business grows, there is more data to be stored and secured which will need reliable systems to offer such services. MongoDB is one of the most unswerving systems that can help you to achieve all your said goals.

What is meant by Big Data?

Big Data is considered to be that data which is extremely massive but can be used efficiently when needed. Big Data is a fast-changing data that is always available and ready to be accessed by some dependable systems. All the organizations tend to cross-examine various kinds of database setups that can provide the performance that your applications need.

For instance, when we look at the online markets, there is a lot of data involved which can be used further for pricing along with advertising purposes. For robots to remember all the processes, they need to store some of the information from the previously done arrangements. This is where Big Data plays its role and to keep this data, no traditional database software will be good enough.

Fundamental Characteristics of Big Data

There are three fundamental characteristics of Big Data that are considered in today's software systems which are mentioned below.

• Volume: This is the part where the size of Big Data is involved and this can be anywhere between gigabytes or terabytes. A large number of organizations make use of terabytes of Big Data to perform their functions on daily basis.
• Velocity: The data stored in the systems of an organization must be fast-processing data to enhance performance and efficiency. For instance, take the Forex Trading Center that needs a quick display of all the new stock exchange alerts on the screen.
• Variety: This part refers to the various categories of the give data which can be according to the dates, numbers, figures, strings, code, arrays, geospatial data, objects, binary data, e

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Reasons Why MongoDB is a Smart Choice to Work on Big Data

Big Data can be an advantage to the entire organization only when it is managed properly by an efficient database system and MongoDB helps you to achieve that. There are a large number of convincing reasons why MongoDB should be your first choice and they are stated as follows:

1. Rich Query Language

Big Data is often processed to extract the desired results that can be used for further processes but MongoDB can be used to further process this data to give it a better shape. MongoDB consists of a large variety of resources which include the feature of Map-Reduce, CRUD operations, search for text, and the framework of aggregation.

Moreover, MongoDB also has a function of using geolocation that can be integrated with your geospatial data to perform a lot of functions. For instance, a telecommunication industry can take advantage of this geolocation feature and pinpoint the exact location of a customer to group his/her calls and all the related information.

2. Availability is High

Before MongoDB, the replication of data was extremely hectic and troublesome, and only a few users used to get served by the servers. However, with the advancement in the software systems and the emergence of MongoDB, the processed data can be replicated among various servers and systems without any technical issues. Moreover, most of the users can acquire this replicated data and use this for their own gain by getting served from the closest systems and servers.

3. Efficient Memory Handling and Storage Engine

MongoDB has been developed by using the programming language C++ which justifies the statement that this database efficiently handles the memory of the systems. On the other hand, the new versions of MongoDB have automatically set the WiredTiger as the storage engine which is capable of handling a multitude of workloads. Due to various quintessential features of WiredTiger such as the feature of checkpoints, concurrency of the documents, compression, etc., MongoDB becomes the smart choice.

4. Embedding of the Data

Embedding of the data generally means that a large number of fields get embedded into single fields. MongoDB helps to do this exact same process with a single document and due to this process, only a few queries are issued. Moreover, a single document can hold a large amount of data which can be advantageous to organizations since the storage of the data is the biggest problem of them.

5. Integrity and Consistency of Data

MongoDB offers another exemplary feature which is a tool known as the JSON Validator Tool. This helps to maintain integrity along with the consistency of the data by ensuring that not even a drop of invalid or irrelevant data gets entered into the database of the system. Furthermore, MongoDB also provides us with the features of backup and restoring of the data which may get lost during any action.

Conclusion

MongoDB is certainly the game-changer and its integration with Big Data can benefit your organization much more than you can imagine. It is considered to be the most suitable database for your Big Data and hence, a smart choice to consider for your business. Big Data holds an immense amount of data that only a MongoDB can handle and keep it secure. However, if you want to work with MongoDB, you need to cover the premises of Big Data and for that, you need to procure Big Data Certification. These certifications can help you to polish those Big Data skills that you didn't even know you had.