Hadoop

Why you should consider using Hadoop in big data management?

01st Aug `16, 10:35 AM in Hadoop

If you are continuously involved in big data or any project that involves database management, you probably have…

sujain thomas
Sujain Thomas Contributor
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If you are continuously involved in big data or any project that involves database management, you probably have heard of Hadoop. This is an open source project introduced in 2005 by Doug Reed, a computer scientist. The project is now being managed by Apache Software. Why has this platform gained so much popularity?

Big data and hadoop

In addition to the many benefits that come with the use of Hadoop, one of the main reasons why companies consider it is because of the low cost of implementation. The platform gives developers great data management provision. The framework supports the process of big data sets in distributed computing environment. It is also scalable in that you can start with a single server and grow to thousands of servers/machines with each providing storage and computation.

Another remarkable feature of Hadoop is that it offers a distributed file system that facilitates the rapid transfer of data among nodes and also enables systems to run uninterrupted in case any of the nodes fail. This significantly reduces the risk of a catastrophic system failure even when several nodes fail.

Simply put, Hadoop is considered for its scalability. It has proven to be valuable for the large scale organizations. Below are some of the remarkable benefits you will enjoy from using the platform.

Hadoop

Scalable

Scalability is the main benefit you get from Hadoop. This is one of the most scalable data storage platforms that you can invest in. The platform will store your data and also distribute it in large data sets across your servers. What this means is that the platform will give you the ability to run your applications on thousands of nodes while carrying thousands of terabytes. This is the feature that makes Hadoop the ultimate choice for big data management.

Cost effective

When choosing a data management system, cost is always a major factor you have to consider. The great thing is that Hadoop offers a very cost effective storage solution for your organization’s ever growing data sets. You no longer need to down-sample data and classify it based on priority. You also don’t need to delete the raw data if you don’t have to.

Hadoop is a cost effective solution for handling big data sets. The massive storage and data distribution feature makes it possible for you to use all your data without being forced to delete the least essential data. It is no longer expensive to store your data. The new platform will affordably store your company’s data. You will enjoy better cost savings since you no longer have to spend thousands of dollars per terabyte. The cost of storage with Hadoop is much lower.

Great flexibility

With Hadoop, you will be able to derive business insights from a range of data sources like email conversations, social media, and clickstream data. This is possible because the platform enables you to access new data sources and easily use different data types. You will be able to work with structured and unstructured data.

What is more is that you can use Hadoop for a range of other purposes. The platform can be used for recommendation systems, log processing, market campaign analysis, fraud detection and data warehousing. The platform is definitely the ultimate tool for remote DBA experts.

Improved speed

The last thing you want is for your system to be sluggish. This is not only annoying but it will also slow the overall running of your business. This is a common problem when using traditional methods in data management. Hadoop, however, resolves this problem.

It is important to understand that the data storage method on Hadoop is based on the distributed file system. This clearly maps the exact location of data in the cluster. Second, the tools used in data processing are located on the same server that data is located. This leads to faster data processing.

When dealing with large data sets, Hadoop makes it possible for you to process terabytes of data efficiently and within minutes. You can process petabytes of data in just hours instead of days.

Resistant to failure

When compared to other platforms, Hadoop has a higher fault tolerance. This is because of how the platform works. In its working, when data is sent to a node, the same data is replicated to other nodes within the cluster. This means that in the event of failure in one or more nodes, there will always be a copy available.

Continuity

All the aforementioned benefits of using Hadoop result in one main thing, continuity. The reason why many companies suffer is because they lack the data they need to predict the future. The data was often lost when prioritizing which data to keep and which one to delete. This is no longer the case once you embrace Hadoop. The platform enables you to collect and keep all the data in a well-organized manner. This has enabled many companies to store and analyze the high volume of their data successfully.

With Hadoop, the data is generated continuously be it through mobile platforms, social media presence, and other services. These activities lead to more data gathering. These solutions need to be scaled fast and in a cost effective manner that is also secure. Hadoop offers that.

Advanced analytics

Last but not least, with Hadoop, you will benefit from advanced data analytics. The platform offers facts and figures that are more accurate than other platforms. The platform also offers advanced features like predictive analytics and data visualization. This will help get useful insights in graphical manner. At the end of the day, the data will enable you to optimize performance using a single server as well as be able to handle large volumes of information.

When working with large data sets, Hadoop offers more benefits than other relational data management systems. The platform is cost-effective, safe and fast. These are qualities that are essential in database management. What is more is that Hadoop will grow with you to accommodate your exploding data needs. Hadoop is affordable for both small businesses and enterprises.

Conclusion

Now from the above the article you would come to understand the importance of Hadoop and benefits which are useful in big data management. Therefore it becomes essential for companies to know the advantages of hadoop so that they can make proper implementation.

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