Cloud computing, on a personal or business level, hasn’t been around for long. 2010 and 2011 were banner years for the implementation of cloud. There was some movement in the industry before that, but 2010 and especially 2011 were when things really started to take off.
With the capabilities provided by the internet combined with the technology device revolution, the need for and want of cloud computing came to fruition. For big data especially, cloud computing has been extremely important in making big data a household name. Whether it’s been through IBM, Google, or Amazon Elastic MapReduce, the word on big data has gotten out.
Before big data in the cloud, it was difficult for most companies to afford any type of big data implementation because of sky-high startup and maintenance costs. By combining cloud and big data, companies pay significantly reduced startup costs and basically eliminate maintenance costs.
Cloud computing has totally revolutionized the big data world. So, what further changes can we expect in the future? Here are six.
As more and more companies begin to implement big data, more and more companies are going to use the cloud to do it. There are so many advantages to big data cloud computing for the small business that they can’t afford to not have this technology.
Today big data in the cloud is still in its infancy stages. We’ve just scratched the surface with what cloud computing can do for big data and business. With higher levels of implementation and more resources for improvement, the cloud is going to drastically increase use and improve performance.
One of the biggest concerns with the cloud, both on a business and personal level, has always been its safety. Can something that’s not stored on premise really be secure? Is it really protected from prying eyes at the provider level and is it safe from hackers?
While there have been hiccups along the way, the overwhelming answer has been that yes, data in the cloud can be extremely secure. Credit goes to these cloud companies for the steps they’ve taken to ensure the greatest levels of security for their clients extremely important information.
The great news is that data security will keep getting better. There’s still plenty of room for improvements and cloud service providers are going to make those advancements.
A lot of big data analytics can already be done in real-time, but much of it can’t. Many of the processes still take a significant amount of time to complete. As cloud continues to evolve, users are going to see big data in the cloud that is much quicker. There will be more real-time analytics and quicker results for the traditionally-slow batch processing.
Big data in the cloud, generally, is much, much easier for companies to implement and use than big data on premise. That’s due to a number of different factors, but mainly it comes down to the fact that companies can rely on the cloud providers to take care of the complex operations. As the trend toward cloud computing continues, not only will companies find even more ease in using big data, but it will also be easier to get up and running with it too.
One of the most important factors, if not the most important factor, behind big data in the cloud growth is the relatively low cost. Companies don’t have to costly infrastructure to install or maintain and they don’t have to hire large and experienced data teams for that data. However, even with the comparatively low cost for cloud computing, there’s still room to improve for cloud providers. As more and more companies use cloud and as more and more providers pop up, costs are going to continue to drop.
Indeed, the future of cloud computing is bright. It’s something that every company should be looking at if they want to truly leverage their talent and take things to the next level.Back to top