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Top Pros and Cons of Hadoop

Top Pros and Cons of Hadoop
Written by Aryan Arya
This is the digital world and demand for the technologies has risen up where efficiency is highest. Big Data Hadoop is one such major area and the reason for it is the excess of data available in the world. The companies get data from multiple sources and there are furthermore processes carried out on the tons of data. These processes help the companies further to get useful insights from the data and work on then to improve the businesses. Hadoop is one of the best technologies available in the market to carry out the above-mentioned operations in a significant manner.

The demand for Hadoop engineers has risen up in the market and will keep rising until the data is available. Therefore, choosing Hadoop as a career option can be a wise chooses. But everything comes with its own set of benefits and cons. Let’s take a look at them below for Hadoop.

Pros

  • All data sources accepted

There are multiple sources from where the data can come in the structured or unstructured form including clickstream data, social media, and emails, etc. In order to process the data, it should be in a common format and doing this can take a lot of time. Hadoop excels in this and can perform the task of deriving valuable data from any of the available sources in very less time duration. There are multiple other functions that can be performed including fraud detection, data warehousing, and market campaign analysis, etc.

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  • Speed

The organizations always keep looking forward for the ways to maximize the work speed. Hadoop makes sure that the work is done speedily without any delays. It takes in use a storage system wherein the distributed file system is being used for the storage of data. The processing based operations are carried out fast because all the required data processing tools are available on the same server where data is available. Hence, processing terabytes of data in a few minutes of time is possible with Hadoop.

  • Cost-effective

The conventional data storage methods involved a huge cost and even sometimes companies used to delete the raw data sets in order to make space for new upcoming data. This might lead to the loss of some valuable data. With Hadoop, this problem has been completely eradicated. It is a highly cost-effective method of storing data. It has the capacity to store all the company’s raw data. Now, the companies need not delete any of the raw data in order to empty the space for new data and can use the old data anytime in the future.

  • Multiple copies

Hadoop has the ability to create multiple duplicate copies of the available data. Thus, if in future any failure occurs, there will be no data loss for the company.

Cons

  • No preventive measures available

In Hadoop, by default the security measures are disabled. Therefore, the person in charge needs to make sure that all the measures required for securing the data are taken beforehand.

  • Problem with small data

Hadoop lacks dealing with small data functions. Only the big businesses that are involved in generating tons of data can take the benefit of Hadoop. In small data environments, it becomes difficult for Hadoop to show efficiency.

All the technologies have their own advantages and risks associated with them. You just need to make sure that the pros have the power to outweigh the risks and there is no doubt in the fact that Hadoop comes with all the necessary benefits that are enough to ignore few cons. If you need to know further details about the technology, Enroll for Hadoop training wherein you will be taught everything about it. Learning will be smoother and you will always get to know the new advancements of the field.

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About the author

Aryan Arya

Aryan Arya (Siva Venkat) is the CEO & Originator of Crazy Speed Tech, Blogger, Web Developer & currently maintaining other few tech blogs also operating as an SEO Analyst.

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