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Kamis, 23 Juni 2016

Big Data at Your Doorstep - infoTECH Spotlight

 
 
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You might think that the cloud is the best place to work through large data sets, but you may want to run the numbers first. Computation on the big data scale, that of terabytes and petabytes, requires a huge number of processor cores to work efficiently. Since cloud costs are computed based on the number of clock cycles it becomes incredibly cost prohibitive to run big data calculations on the cloud. Sure, if you are planning to run a one-off data set maybe it's cheaper to go with the cloud rather than purchase hardware, but in most other situations it just doesn't make economic sense.
Chief Information Officers (CIOs) and Compliance Officers in the financial sector have a tough job. Whether they work in banking, insurance or capital markets, these employees are tasked with ensuring their companies comply with regulatory requirements and internal policies. With scrutiny intensifying, fines and other penalties on the rise, companies are making their compliance departments a priority.
In the business world, the conversations around strategies and goals tend to focus on profitability. A business needs to drive sustainable revenue that not only covers ongoing costs, but also includes the profit margin. It should be the goal of any business plan, regardless of the product or service. In the area of software licensing, it's both critical and challenging to achieve.
Tracking and managing software licenses is a full-time job today, but many companies simply don't have the resources to devote a full-time worker to the process. Ideally, better management of software licenses could eliminate onerous manual processes and save time and money. It would also allow companies to become more efficient and make the most of their software assets.
The nicest way for an ops team to use Docker would be if Docker did the hard work of integrating Docker with AWS and Azure, he said, so that's what Docker has done. As a result, if someone wants to deploy a new Swarm on AWS, for instance, there's a cloud template, and the ops team member simple selects the desired number of nodes, clicks, and they are done.

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