Читать книгу Data Science For Dummies - Lillian Pierson - Страница 37

After you have realized the upside potential of storing data in the cloud, it’s hard to look back. Storing data in a cloud environment offers serious business advantages, such as these:

 Faster time-to-market: Many big data cloud service providers take care of the bulk of the work that’s required to configure, maintain, and provision the computing resources that are required to run jobs within a defined system – also known as a compute environment. This dramatically increases ease of use, and ultimately allows for faster time-to-market for data products.

 Enhanced flexibility: Cloud services are extremely flexible with respect to usage requirements. If you set up in a cloud environment and then your project plan changes, you can simply turn off the cloud service with no further charges incurred. This isn’t the case with on-premise storage, because once you purchase the server, you own it. Your only option from then on is to extract the best possible value from a noncancelable resource.

 Security: If you go with reputable cloud service providers — like Amazon Web Services, Google Cloud, or Microsoft Azure — your data is likely to be a whole lot more secure in the cloud than it would be on-premise. That’s because of the sheer number of resources that these megalith players dedicate to protecting and preserving the security of the data they store. I can’t think of a multinational company that would have more invested in the security of its data infrastructure than Google, Amazon, or Microsoft.

A lot of different technologies have emerged in the wake of the cloud computing revolution, many of which are of interest to those trying to leverage big data. The next sections examine a few of these new technologies.