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Streaming Data And Cloud Computing

Streaming Data And Cloud Computing

Numerous basic applications are in the SaaS (Software as a Service) industry where thousands or maybe a large number of clients could at the same time need to utilize the administration. One server essentially would not have the capacity to handle that and so they take their administration and spread it over numerous servers using the cloud servers. To the clients, there is one and only interface or entry however on the back end there could be handfuls or even several servers all working as one to keep the stream of data from getting slow.

The word “streaming” can also be known as real-time data feeds, such as application event traffic, messages or events generated by sensors and devices, or continuous flows of data. Streaming data on the other side is a non-specific term for streaming sound, video and data from the server. The essential prerequisites to get streams were a capable CPU and an adequate bandwidth.

For Instance, video can once in a while require a lot of assets. So it’s no big surprise that with the perpetually expanding fame of cloud-based computing that somebody understood it may be a decent approach to run with online video. Applying it to online video is a precarious errand as there are different things that should be considered including where the video will be stored, how it will be conveyed, where it will be conveyed from and to, and transcoding. Most importantly in everybody’s brain obviously will be the storage space and bandwidth. Cloud service providers CSP offers some online video organizations as well as other organization some assistance with keeping things streaming uninhibitedly in streaming data.

Examples of Streaming Data and Cloud Computing in different Industries

  • Sensors in transport vehicles, industrial equipment, and agricultural machinery send data to a streaming application. The application monitors performance by detecting any possible defects in advance and automatically placing the spare parts order to prevent equipment from being disrupted.
  • A financial institution tracks changes in the stock market in real time, computes value-at-risk, and automatically rebalances portfolios based on stock price movements.
  • A real-estate website tracks a subset of data from consumers’ mobile devices and makes real-time property recommendations of properties to visit based on their geo-location.
  • A solar power company has to maintain power throughput for its customers or pay penalties. It implemented a streaming data application that monitors of all of the panels in the field, and schedules service in real time, thereby minimizing the periods of low throughput from each panel and the associated penalty payouts.
  • A media publisher streams billions of clickstream records from its online properties, aggregates and enriches the data with demographic information about users, and optimizes content placement on its site, delivering relevancy and better experience to its audience.
  • An online gaming company collects streaming data about player-game interactions and feeds the data into its gaming platform. It then analyzes the data in real-time, offers incentives and dynamic experiences to engage its players.

With Real-time streaming, an enterprise will be able to cut preventable losses, seize new opportunities and gain more operational insight.

Source: AWS

featured Image: Shutterstock

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Ikechukwu Onu
Ikechukwu Onu is a content creator at Descasio, and he aspires to put in plain words the most complicated cloud computing technological concepts in the simplest words and phrases possible.

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