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Ease and simplicity are two of the mantras in the developing world. Managing to make building a project much more agile and efficient is one of the objectives of any development.
César Silva, chief technology officer at Beeva, in his speech at the Emerging Tech: Big Data walking to the cloud, event stressed that by uniting the power of both Big Data and cloud computing, “something that was previously very difficult such as accessing huge amounts of information from a huge amount of infrastructure, now becomes something that, while not trivial, is within reach of virtually anyone.”
This allows the developer to “build” a data analyst project more easily.
But first you have to know how to define each of them:
“This is what allows us to be able to process a large amount of data and extract value from it.” All Big Data technologies are based on a common pattern that is distributing work between different machines; 99% of them are based on clustering, collecting huge volumes of information, segmenting and analyzing them with groups of machines.
For Silva, “Vertical scaling is a solution in which increasingly more memory, more CPU, is being added in a single node, but has a limit, which is the available technology; however, if we are able to build applications or systems in which by adding machines horizontally, they are able to handle greater volumes of information, we will not have such a clear limitation.”
The three most common operating models:
1. Technologies that work with a master node and several computing nodes.
2. Technologies that have multiple master nodes and multiple computing nodes.
3. Technologies that have no master node concept, but everything is done in a ring in which all nodes are equal.
It’s actually “on-demand infrastructure, hiring a third party to manage the infrastructure for me.” It differs from traditional hosting in that it is “snapshot” infrastructure, i.e. making available “computing, storage and traffic in minutes” and it is “programable”, i.e. it is offered as a “soft” service, so the hardware can be automated.
According to Silva, these features have made computing power and storage become a “commodity” because “it’s become available to everyone.”
A cloud computing model allows you to “get something up and running quickly and you also only want to pay while you’re using the infrastructure.”
The key is to know how to build a project linking and taking full advantage of the technologies offered by Big Data and cloud computing.
If you want to see the complete presentation of this Emerging Tech event, don’t miss this video:
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