Big Data and the Cloud
Big Data and the Cloud
It's estimated that by 2020, 1.7mb of new data will be created for each human every second. But currently, only 0.5% of all digital data is even processed. How can the cloud help?
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Industry watchers in Big Data estimate that by 2020, about 1.7mb of new data will be created for each human being — with each passing second. If you multiply that with the world population, then you can see why big data is a big deal today and will continue to be a big deal for a long time to come.
Companies and other organizations are using big data insights to take advantage of opportunities that they would never have come to know about without big data. They are using it to do laser-focused research, which helps with making better business and organizational decisions. For instance, the retail industry is using big data to get a better understanding of its customers as well as optimize its internal processes, while research scientists can now crunch massive amounts of data more rapidly than ever.
Cloud computing, on the other hand, is a powerful technology that aids businesses in performing complex and massive-scale computing without the need to buy and maintain expensive computer hardware and software. This new paradigm in how organizations acquire computing resources is referred to as a “pay as you go” model that expands or real-time contracts in line with the current need for computer resources.
Combining Big Data and Cloud Computing
According to an MIT research report, only about 0.5% of all digital data is ever even processed. Processing this data is what big data is all about. Given the incredible insights that organizations can get by analyzing this information, it is not surprising that the big data has become an industry worth billions of dollars.
However good a company might be in collecting data, if its infrastructure is unable to keep up, then soon enough, the system will be overwhelmed. Using the cloud gives a business the access to elastic infrastructure. Additionally, the cloud offers a platform for developing and testing emerging analytic applications that can perform better analyses of these massive data sets, including unstructured sets of data.
Therefore, big data and the cloud make for the perfect combination, together providing a scalable and cost-effective infrastructure that can support business analytics. As the cloud evolves, it is presenting businesses with new opportunities. One such opportunity can be found in the bare-metal cloud. This dedicated infrastructure promises a bright future for big data projects implemented via the cloud. Using bare-metal cloud provides predictable performance, thereby eliminating uncertainty and giving business leaders the confidence they need to pour in more resources into big data.
What’s more, this uncertainty elimination has been essential in making the cloud a viable solution for big data. According to industry insiders, the next generation of big data projects in the cloud will be automated. Therefore, there is no better time for architects in big data to reconsider the cloud as a possible primary driver of big data, essentially empowering business enterprises to analyze information cost-effectively, with increased speeds, and on a notably greater scale.
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