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Why Streaming Data Is So Important For Businesses?

Published on 28 May 18
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If you are an entrepreneur or associated with anything that requires analysis of data then chances are either you have already started big data streaming or thinking about it. That is the reality today no one can ignore the importance of streaming data which is now being considered next best thing mankind had after the computers and internet. Indeed big data streaming finds its relevance in almost every aspect of life in the present information age where data is being generated every second. The sheer volume of data generated by various corporations, internet of things and the internet itself makes the data big, very big and if it is to be analyzed then you need apache storm which is crucial for big data streaming analysis.

Our best understanding comes when conclusions fit the evidence and when evidence and analysis properly explain the situation. That is the reason why streaming data is being increasingly used across sectors, industries, and situations. It is predictive, it is actionable and above all, it is very very fast almost on the go so that you do n’t have to wait for days and weeks for any analysis which would make your life easy.

IT and Telecommunications companies handle large volume streaming data and need insights from anomaly detection and predictive models to provide better services to their users. E-commerce companies, IoT-based industries, and defense, health and education companies all have used for streaming data. Indeed there are advantages of a stream-based approach, exploring real-world situations in which companies in a variety of sectors are using stream processing, including in production and marketing of their products.

There are many other useful applications for big data can be put to use when real-time streaming is involved. Improved customer response in e-commerce, faster and accurate analysis of mobile apps data, is just a few to name. Real-time streaming also helps businesses keep track of the actions of their customers when they are visiting their website.

Organizations use real-time to stream to know what people are saying about them on social media networks. Social media listening tools make accurately picturing brand awareness and attitude possible, helping companies know how others actually feel about them and their products. Indeed every new opens up a new case for big data; opportunities in multiple areas are increasing showing what real-time streaming is capable of. The apache storm has unleashed a storm of a kind in the analytical frameworks and taken a long leap from the batch processing provided by Hadoop not very long ago.

However, big data analytics is in the midst of an evolution. It’s a typical sight for nearly any new technology as experts and organizations get more used to all of its capabilities. Big data is certainly no exception to these changes,
If you are an entrepreneur or associated with anything that requires analysis of data then chances are either you have already started big data streaming or thinking about it. That is the reality today no one can ignore the importance of streaming data which is now being considered next best thing mankind had after the computers and internet. Indeed big data streaming finds its relevance in almost every aspect of life in the present information age where data is being generated every second. The sheer volume of data generated by various corporations, internet of things and the internet itself makes the data big, very big and if it is to be analyzed then you need apache storm which is crucial for big data streaming analysis.

Our best understanding comes when conclusions fit the evidence and when evidence and analysis properly explain the situation. That is the reason why streaming data is being increasingly used across sectors, industries, and situations. It is predictive, it is actionable and above all, it is very very fast almost on the go so that you do n’t have to wait for days and weeks for any analysis which would make your life easy.

IT and Telecommunications companies handle large volume streaming data and need insights from anomaly detection and predictive models to provide better services to their users. E-commerce companies, IoT-based industries, and defense, health and education companies all have used for streaming data. Indeed there are advantages of a stream-based approach, exploring real-world situations in which companies in a variety of sectors are using stream processing, including in production and marketing of their products.

There are many other useful applications for big data can be put to use when real-time streaming is involved. Improved customer response in e-commerce, faster and accurate analysis of mobile apps data, is just a few to name. Real-time streaming also helps businesses keep track of the actions of their customers when they are visiting their website.

Organizations use real-time to stream to know what people are saying about them on social media networks. Social media listening tools make accurately picturing brand awareness and attitude possible, helping companies know how others actually feel about them and their products. Indeed every new opens up a new case for big data; opportunities in multiple areas are increasing showing what real-time streaming is capable of. The apache storm has unleashed a storm of a kind in the analytical frameworks and taken a long leap from the batch processing provided by Hadoop not very long ago.

However, big data analytics is in the midst of an evolution. It’s a typical sight for nearly any new technology as experts and organizations get more used to all of its capabilities. Big data is certainly no exception to these changes,

This blog is listed under Open Source and Server & Storage Management Community

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