Why are Streamers Looking up to Streaming Analytics?

Analytics can address the continuous need for processing the data generated from streaming platforms. 

FREMONT, CA: Streaming services have changed the way users consume content. While users had to download the episodes of their favorite series in the past, modern streaming platforms have made it possible to view the series online. Further, modern streaming services have improved the viewer experience and enabled the content creators to connect to their audience at a greater level. However, such an infrastructure that ensures live streaming also involves the sharing of a huge array of data every second. Service providers are constantly trying to enhance the quality of their services. The massive availability of data generated from the streaming platforms is full of opportunities for the service provides. Streaming analytics or event stream processing can essentially help service providers in this regard. 

Streaming analytics solutions can analyze huge pools of current as well as in-motion data with the aid of continuous queries known as event streams. Such streams are triggered by a specific event that occurs as a direct result of an action such as a financial transaction, equipment failure, or a click on the website. With the growth of the internet of things (IoT) connected devices, it is crucial for the service providers to collect, process, and analyze the data sets. A streaming analytics solution collects real-time data as well as performs simple calculations on the available data.  

The main motto of the streaming analytics solution is to enhance service quality and provide users with real-time information and updates. Streaming analytics is especially useful for streaming services as it involves a constant flow of data that updates with high frequency and can lose relevance in a short period of time. Thus, there is a need for continuous processing of queries and requirements, which can be addressed with the aid of streaming analytics solutions.

Streaming analytics will experience wide-scale adoption as the service providers understand the essence of processing data on the fly.

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