Challenges For Big Data In The Cloud Environment
Big Data And Cloud
Big Data offers organizations vision, insights and access to unprecedented knowledge generation potential. However, it can also be synonymous with complications when managing all that information in a traditional framework. How to process such data to extract only the most valuable bits? The processing and the analysis of these large volumes of data often become just as difficult a task.
And it is that, in the era of high-speed connectivity, moving large data sets and providing the necessary details to access them is also a problem. These large data sets often contain sensitive information, such as customer personal information details or credit or debit card numbers, which raise data security concerns.
The protection of information in the cloud is a source of great concern for companies and cloud service providers today. The threat continues to become more sophisticated, relentless, and new ways of finding entry points into a system appear every day. Other issues include the use of ransomware, which profoundly affects a company’s reputation and resources, denial-of-service attacks, phishing attacks, and cloud abuse.
Globally, 40% of companies experienced a ransomware incident in the past twelve months. Insecure interfaces and weak APIs can provide valuable information to hackers. Cloud providers are on the ropes and all business users; after all, endpoints are the most vulnerable links in the security perimeter of companies.
Some cloud models are still in the implementation stage, and the basic DBMS is not only designed for cloud computing. Data laws are also a severe issue requiring data centers to be closer to a user than a provider.
Data replication must be done to leave no room for error; Otherwise, it could affect the analysis processes. It is crucial to perform the search, exchange, storage, transfer, analysis and visualization of this data in the best possible way and with security in the cloud as a priority.
Thus, the only way to face these challenges is to implement state-of-the-art technology capable of predicting an attack before it occurs and alerting a security incident in time to remedy it before it causes more damage. Fraud detection patterns, encryptions and smart solutions are essential to combat attackers.