How Do Companies Deal With Voluminous Data Through Object Storage?

How Do Companies Deal With Voluminous Data Through Object Storage
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Data management in business was traditionally done by files arranged in an office file cabinet. Gradually, the cloud computing system entered the scenario and converted the data storage process from the physical to the virtual world. Now, data are stored in the cloud for better space and security. The introduction of object storage in the cloud is a revolution as it has made data management easy at competitive pricing.

From longevity to unlimited space, object storage can store all files like images, text files, tables, sound, video, etc. It gives assurance on the safety of data along with easy management via the application. Implementing the system will relax you from the anticipation of storage capacity, as it offers unlimited space where you can easily store huge data files.

Why Is Object Storage Considered As A Good Fit Over Other Alternatives?

Companies that deal with a large volume of data need flexibility and elasticity in their storage system. On the other hand, other applications provide limited space and urge to buy more storage space when required. It is the major reason for the shift from block storage to object storage systems. It is the format where the unstructured data is stored in the cloud and managed as objects.

Data stored in the block storage space system handles it as blocks and stores data in hierarchical files. The object storage system supports unlimited data growth as it gives space and scalability. It has a storage capacity equal to 2 to the 50th power of bytes. However, the block and file storage systems are costly and difficult to extend when scaling to the large data storage volume.

Object Storage is the space where every piece of data exists in the same storage pool. Apart from space, the easy accessibility, reliability makes it more efficient for the companies to store their unstructured data. Moreover, since object storage has no space limit, it provides full scalability to the user for data storage.

It Is An Efficient System For Backup And Archive Data:

The storage limit can scale up to petabytes with reliable performance. The four major types of data that gain immense benefit from this storage system is:

  • Unstructured data like music files, sound, text files, etc.
  • The archived files that are present in the storage to recover anytime
  • Any type of backup file that can be recovered easily.
  • Historical data that you may need anytime for any analytical purpose.

The object storage system is a boon when it comes to recovering backup and archived files. It saves you from the disaster of losing those files. Also, the historical data extracted from the system can be used to assess market trends via data analytics.

Also, to make your data storage even more efficient, we would recommend to use warehouse management. It removes data-entry, automate invoicing and helps to automate data flow.

How Do Companies Deal With Voluminous Data Through Object Storage 2

What Is Simple Storage Service (S3)? Why Is Saving Data Mandatory?

Data is the raw form of statistics that is converted into information. The companies further utilize it in the decision-making process to withstand the competition and innovate their products and services. As a result, there is a continuous increase in the volume of data. By 2025, this increase is estimated to rise to 163 zettabytes. Simultaneously, we need unlimited space to store them for future use.

The concept of object storage was introduced in the 1990s, but it started gaining popularity when adopted by Amazon Web Services (AWS). AWS called it a Simple Storage Service (S3). Today, every data is sent to object storage because it is easy to access and offers unlimited space with high-security features. In addition, it keeps data protected as compared to the traditional database system that was not built for diverse scalability.

Earlier, in the traditional relational database storage system, the data were stored in rows and columns. It was limited because the system could not store data apart from their row and column setup. When object storage was implemented, it broke the traditional data saving model and became massively popular among companies due to its functional features.

Object Storage for Big Data- Challenges:

The term big data means those huge and complex data structures that are inadequate for traditional data storage and applications to manage and process. Moreover, it has several challenges like searching, sharing, storage, analysis, transfers, etc.

These data sets have characteristics like:

  • Volume- It is the quantity of the data.
  • Accuracy- Differentiating useful data.
  • Velocity- The rate at which data is managed and processed.
  • Inconsistency: Type of data and its arrangement.
  • Variety- The nature of the data.
  • Lack of data management knowledge that was limited to expertise only on traditional data saving model.

The major challenges for big data processing were moving it, analyzing it, and protecting it from any loss. Moreover, it wasn’t easy to integrate data from different places and collect them at a single point for any data analysis. Moreover, the organizations must face a dearth of professionals who could work and run on such major technologies.

The Solution to Big Data Arrangement and Processing:

Object storage platform gave the accessibility to save all the data at a single place in the same pool. The process starts with creating unified data access via objects, followed by encryption and protection of data. The data stored as objects are geographically dispersed and managed easily. It is attached with high security. Now any object data can be categorized and accessed easily for analysis and interpretation.

Also, one of the biggest reasons to use object storage is the archive feature. Companies can archive those sets of data that businesses don’t need to access for a while. However, they are immediately recovered when needed. Object storage is also equipped with the disaster management technique where data lost is easily recovered with minimum effort. You can learn more about  Big Data by checking out ProjectPro Big Data Projects.

The Major Shift to OVH Cloud:

Let your data storage capacity increase from a limited space to unlimited space. Switch to OVHcloud allows high-level data security and sovereignty. Get the best price quote in the market. Explore our products that start with the basic plan for MongoDB that is free during the beta period.





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