Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics (Wiley and SAS Business Series)
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Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics (Wiley and SAS Business Series)
Learning how to capture, parse, and analyze text is critical for organizations.
The changes that are made to roads and traffic management systems, as well as the plans for how roads are built in the first place, will provide huge benefits to all of us.
Data is used to create diagnostic algorithms and as input to the algorithms to diagnose a specific problem. Engineering organizations can use sensor data to pinpoint the underlying causes of failure and design new safeguards for longer, more dependable operation.
There are newer methodologies that will parse through raw web logs and enable the identification of anything that occurred without having predefined it. These methods are log-based since they leverage a raw web log directly. The value of this is that if you realize later that you forgot to capture interactions with the promotion image, you can go a
... See moreCertain types of customers, for example, may be scored poorly by one technique but very well by another. By combining intelligence from multiple models, a scoring algorithm becomes better in aggregate, if not literally for every individual customer, product, or store location scored.
A smart grid has highly sophisticated monitoring, communications, and generation systems that enable more consistent service and better recovery from outages or other problems.
We’re talking about running analytics processes 40, 50, even 100 times faster than is possible with traditional approaches.
While enterprise data warehouses have been a big focus in the discussion, most MPP vendors today offer “appliances” that are scaled-back versions of their enterprise class systems.
Then, procedures can be developed to mitigate the problems that result from those findings. The benefits aren’t just added safety but also lowered cost.