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Four Reasons why Hadoop is Heading for the Clouds
By Afia Ahmad
With most businesses being completely data-centric, cloud computing and big data has been on the radar of businesses for several years now. These two concepts although of significance importance right now, might infact be on a collision course. Running Hadoop on Cloud is not a new idea, over the past year there have been a lot of developments in this area of new projects relating to Hadoop running on Cloud Environments.
Hadoop is bound to become a necessity for organizations due to the immense number of applications using very large data sets. Hadoop in a cloud allows for speedy completion of jobs as usage of Cloud enables parallel processing across multiple servers.
Some of the reasons why Hadoop will work better in Cloud:
- Scalable and Flexible – Businesses are constantly expanding and that usually requires more computing power than the current system is capable of and that would not only take time but also be an expensive process. With a Cloud system, however, businesses can scale to the size as required, thus saving time and money. Moving data would also be a tedious and costly task, however in a Cloud environment, that would not be required and the data would still be accessible anywhere.
- Cost-Effective -Maintaining and developing an in-house data centre and big data analytics is not something every company can afford. Smaller companies that cannot afford the investment for the expensive hardware can benefit from the cost-efficacy of a the Cloud environment. Small businesses can use public clouds and only pay for what they use, while large businesses can use private clouds to replace in-house data centres, and public clouds for short term projects without having to expand their in-house system.
- Simplification of Innovation – For Companies that are still testing out Hadoop, an investment in data centers may not make sense, usage of cloud environment however allows organizations to lower the cost of innovation and increase the investment into research and other beneficial innovation programs.
- Efficacy of Batch Workloads – Hadoop is a batch oriented system and this means that data is collected and fed into the analytics application a few times a day in varying schedules to extract the output. Hadoop that runs on the physical data centres, thus have to be on throughout this time frame thus consuming resources, proving to be expensive. The cloud environment however, allows you to pay for what you use, thus not only making better usage of resources in an efficient manner but also reduces cost to the company.
Completely moving Hadoop into the Cloud may not however be the best option for some organizations, a hybrid structure that takes the best of Cloud computing as well as having a physical data centre would fare well for larger organizations. However, the potential for increased efficiency and cost savings definitely makes using the ‘Clouds’ for Hadoop, an interesting propostion. If you feel passionate about big data, and think that you can contribute to this ever developing field, you could always expand your skillset through a hadoop tutorial or a big data analytics course.
Of course, a world class option is Manipal University, where you can jump on the bandwagon and undergo big data training or hadoop training and be a part of the niche sector that every organization is looking for.
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