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SAS event stream processing, ESP, Internet of Things, IoT, Analytics
Microsoft® Word 2016
Two of the most important dimensions of data, variety and volume, have challenged the world of data analytics for quite some time. While volume dictated how data needs to be stored and accessed, variety resulted in innovative techniques to mine non-traditional data types. The third but most important dimension of data, velocity, has significantly changed the paradigm of what constitutes big data. We are indeed living in interesting times from the perspective of analytics as we look to mine data on the verge of its creation. Performing analytics on samples of stored historical data has its due share of importance but that is not enough now. Insights at the speed of lightwhat is happening right now at this second can be of tremendous value. The timelines of data to insights and insights to actions are shrinking due to rapidly changing dynamics in the way businesses operate now. SAS® Event Stream Processing perfectly caters to this need for capturing and capitalizing streaming data. With the growing use of social media channels, consumers are increasingly sharing their activities, likes and dislikes, opinions, choices, and interests. Live-streaming data can be of significant value if rightly tapped using proper analytics. In this paper, we showcase the combined power of analytics with SAS Event Stream Processing to build a real-time processing engine that can generate insights on the fly on SAS® Viya®. <br/><br/>Murali Pagolu, SAS
Session 2269
en
jeff.foxx@sas.com
Two of the most important dimensions of data, variety and volume, have challenged the world of data analytics for quite some time. While volume dictated how data needs to be stored and accessed, variety resulted in innovative techniques to mine non-traditional data types. The third but most important dimension of data, velocity, has significantly changed the paradigm of what constitutes big data. We are indeed living in interesting times from the perspective of analytics as we look to mine data on the verge of its creation. Performing analytics on samples of stored historical data has its due share of importance but that is not enough now. Insights at the speed of lightwhat is happening right now at this second can be of tremendous value. The timelines of data to insights and insights to actions are shrinking due to rapidly changing dynamics in the way businesses operate now. SAS® Event Stream Processing perfectly caters to this need for capturing and capitalizing streaming data. With the growing use of social media channels, consumers are increasingly sharing their activities, likes and dislikes, opinions, choices, and interests. Live-streaming data can be of significant value if rightly tapped using proper analytics. In this paper, we showcase the combined power of analytics with SAS Event Stream Processing to build a real-time processing engine that can generate insights on the fly on SAS® Viya®. <br/><br/>Murali Pagolu, SAS
Microsoft® Word 2016
2018-03-08T23:29:10.000-05:00
2018-03-08T23:29:10.000-05:00
2018-04-03T15:45:59.388-04:00
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application/pdf
2018-04-03T15:46:02.176-04:00
Murali Pagolu
Event Stream Processing
Catch at the Speed of Light: Analytics on Live-Streaming Data Using SAS® Event Stream Processing
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sasrelease:1008
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support:sgf-papers/topic/data-management/data-integration
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