Why use Hadoop? Top pros and cons of Hadoop

Big Data is one of the major areas of focus in today’s digital world. There are tons of data generated and collected from the various processes carried out by the company. This data could contain patterns and methods as to how the company can improve its processes. The data also contains feedback from the customer. Needless to say, this data is vital to the company and should not be discarded. But, the entire set is also not useful, a certain amount of data is futile. This set should be differentiated from the useful part and discarded. To carry out this major process, various platforms are used. The most popular among these platforms is Hadoop. Hadoop can efficiently analyse the data and extract the useful information. It also comes with its own set of advantages and disadvantages such as:


1. Range of data sources

The data collected from various sources will be of structured or unstructured form. The sources can be social media, clickstream data or even email conversations. A lot of time would need to be allotted in order to convert all the collected data into a single format. Hadoop saves this time as it can derive valuable data from any form of data. It also has a variety of functions such as data warehousing, fraud detection, market campaign analysis etc.

2. Cost effective

In conventional methods, companies had to spend a considerable amount of their benefits into storing large amounts of data. In certain cases they even had to delete large sets of raw data in order to make space for new data. There was a possibility of losing valuable information in such cases. By using Hadoop, this problem was completely solved. It is a cost-effective solution for data storage purposes. This helps in the long run because it stores the entire raw data generated by a company. If the company changes the direction of its processes in the future, it can easily refer to the raw data and take the necessary steps. This would not have been possible in the traditional approach because the raw data would have been deleted due to increase in expenses.

3. Speed

Every organization uses a platform to get the work done at a faster rate. Hadoop enables the company to do just that with its data storage needs. It uses a storage system wherein the data is stored on a distributed file system. Since the tools used for the processing of data are located on same servers as the data, the processing operation is also carried out at a faster rate. Therefore, you can processes terabytes of data within minutes using Hadoop.

4. Multiple copies

Hadoop automatically duplicates the data that is stored in it and creates multiple copies. This is done to ensure that in case there is a failure, data is not lost. Hadoop understands that the data stored by the company is important and should not be lost unless the company discards it.


1. Lack of preventive measures

When handling sensitive data collected by a company, it is mandatory to provide the necessary security measures. In Hadoop, the security measures are disabled by default. The person responsible for data analytics should be aware of this fact and take the required measures to secure the data.

2. Small Data concerns

There are a few big data platforms in the market that aren’t fit for small data functions. Hadoop is one such platform wherein only large business that generates big data can utilize its functions. It cannot efficiently perform in small data environments.

3. Risky functioning

Java is one of the most widely used programming languages. It has also been connected to various controversies because cybercriminals can easily exploit the frameworks that are built on Java. Hadoop is one such framework that is built entirely on Java. Therefore, the platform is vulnerable and can cause unforeseen damages.

Every platform used in the digital world comes with its own set of advantages and disadvantages. These platforms serve a purpose that it vital to the company. Hence, it is necessary to check if the pros outweigh the cons. If they do, then utilize the pros and take preventive measures to guard yourself against the cons. To know more about Hadoop and pursue a career in it, enrol for a big data Hadoop certification. You can also gain better with big data Hadoop training online courses.

  1. gamefly 10 months ago

    Very quickly this site will be famous amid all blogging viewers, due to it’s pleasant articles

  2. gamefly free trial 9 months ago

    Appreciate this post. Let me try it out.

  3. gamefly free trial 9 months ago

    Woah! I’m really enjoying the template/theme of this site.
    It’s simple, yet effective. A lot of times it’s very hard to get
    that “perfect balance” between user friendliness and visual appeal.
    I must say you have done a great job with this. In addition, the blog loads extremely quick for me on Chrome.
    Superb Blog!

  4. Thank you, I’ve just been searching for information approximately this subject for
    ages and yours is the best I have discovered till now.
    But, what concerning the conclusion? Are you certain concerning the source?
    pof natalielise

  5. minecraft games 6 months ago

    I quite like reading through a post that can make men and women think.

    Also, thank you for permitting me to comment!

  6. When I initially commented I clicked the “Notify me when new comments are added” checkbox and now each time a comment is added
    I get four e-mails with the same comment. Is there any way you
    can remove me from that service? Thanks!

  7. 먹튀 3 months ago

    Your Car Or Truck Does Not Have To Be A Problem

  8. I always used to study article in news papers but now as I am a user of
    internet so from now I am using net for posts, thanks to web.

  9. Your style is very unique compared to other folks I have read stuff from.
    Thanks for posting when you’ve got the opportunity, Guess I will just book mark this site.

Leave a Comment

Your email address will not be published.

You may also like

Pin It on Pinterest