Cloud computing and big data are currently making waves in the business IT world.
Both of these technologies offer great benefits for businesses, and they are increasingly being adopted by both large and small businesses around the world. Companies and organizations will be able to bring their IT performance and capabilities to a whole new level by combining the Cloud with big data.
Here is a look at how teaming up the two technologies can help your business achieve greater growth and success….
Benefits of Cloud Computing and Big Data
Cloud computing is a technology that enables you to store and access data and applications on the Internet instead of an on-premise computing system.
It can help you cut IT costs significantly by reducing the need to purchase hardware, software and licenses, and hire IT professionals. It can also streamline computing processes, increase productivity, mobilize your workforce and make it easier for you to monitor your projects.
A big data solution, on the other hand, is an initiative for managing data that is too massive, fast-changing and diverse for conventional technologies to handle efficiently.
It enables you to manage and analyze large amounts of data more accurately and effectively, and facilitates better decision-making. It can contribute significantly to the profitability and success of your business by reducing costs, lowering risks, improving market segmentation, enhancing customer experience and keeping your data safe.
Why It Makes Sense to Combine the Cloud with Big Data?
According to an article entitled “Extremely Cool Big Data, For People and Machines“, the amount of data stored per company in 15 out of 17 industries in the U.S. was greater than the amount of data stored in the U.S. Library of Congress in 2011. As the need for greater storage capacity continues to grow, many businesses are beginning to realize the importance of switching to big data solutions.
According to a GigaSpaces survey, 80 percent of IT executives who regard big data processing as important said that they are considering using Cloud delivery models for analyzing big data.
Reduces IT Costs
A big data solution can be significantly costly to implement, and it requires a more efficient and cost-effective infrastructure.
A private Cloud computing system can reduce the cost of implementing big data analysis in-house and use public Cloud services to expand internal resources.
This hybrid Cloud computing option allows you to obtain on-demand computing power and storage space from public Cloud services to perform certain analytics tasks, such as short-term projects, and it also provides additional capacity and scale when needed.
Combines Internal and External Sources
While companies prefer to keep most of their sensitive data in-house, they may store large amounts of big data externally, some of which may be in a Cloud environment.
Since it requires considerable resources to move relevant data behind your firewall, it makes more sense to analyze the data where it is located, either in internal or external Cloud data centers, edge systems or client devices.
Cloud computing offers on-demand provision of resources with seemingly unlimited scalability, and it is the ideal match for big data analytics.
These two technologies are changing the world in many ways, and it can do wonders for your business as well.
About the Author: John McMalcolm is a freelance writer who writes on a wide range of subjects, from social media marketing to Cloud computing.
License: Creative Commons image source
