The brilliant faculty who are carrying out that work also happen to be eager, nurturing educators, and they’ll be teaching your classes from the minute you arrive.
Cloud & Big Data
You’ve likely heard the terms Big Data and Cloud Computing before. If you’re involved with cloud application development, you may even have experience with them. The two go hand-in-hand, with many public cloud services performing big data analytics.
With Software as a Service (SaaS) becoming increasingly popular, keeping up-to-date with cloud infrastructure best practices and the types of data that can be stored in large quantities is crucial. We’ll take a look at the differences between cloud computing and big data, the relationship between them, and why the two are a perfect match, bringing us lots of new, innovative technologies, such as artificial intelligence.
Before discussing how the two go together, it’s important to form a clear distinction between Big Data and Cloud Computing. Although they are technically different terms, they’re often seen together in literature because they interact synergistically with one another.
This simply refers to the very large sets of data that are output by a variety of programs. It can refer to any of a large variety of types of data, and the data sets are usually far too large to peruse or query on a regular computer.
This refers to the processing of anything, including Big Data Analytics, on the “cloud”. The “cloud” is just a set of high-powered servers from one of many providers. They can often view and query large data sets much more quickly than a standard computer could.
Essentially, Big Data refers to the large sets of data collected, while Cloud Computing refers to the mechanism that remotely takes this data in and performs any operations specified on that data.
Amazon Web Services offers reliable, scalable, and inexpensive cloud computing services.
Google Cloud Platform, offered by Google, is a suite of cloud computing services.
Microsoft Azure is a growing collection of cloud services for our global network.
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