The three major challenges faced with Big Data are:
Storage: Since Big Data comprises high volume, storing such massive amounts of data is a major issue.
Security: Naturally, enterprises need to ensure that every bit of data is stored safely, and there are no instances of a data leak or data compromise in any other way.
Analytics and insights: It becomes difficult to derive insights, analyze trends, and identify patterns when dealing with such a high volume of data.
Hadoop proves to be one of the best solutions for managing Big Data operations due to the following reasons:
High storage: Hadoop enables the storage of huge raw files easily without schema.
Cost-effective: Hadoop is an economical solution for Big Data distributed storage and processing, as the commodity hardware required to run it is not expensive.
Scalable, reliable, and secure: The data can be easily scaled with Hadoop systems, as any number of new nodes can be added. Additionally, the data can be stored and accessed despite machine failure. Lastly, Hadoop provides a high level of data security.
Posted Date:- 2021-08-31 04:57:23