While real-time analytics and instant operational insights may get the most publicity, and represent the long-term goal of many organizations, the real workhorse behind the scenes is streaming ...

If you’re not already connecting, consolidating and analyzing your data in real time for your business to become a learning- and knowledge-based organization, you can be sure that your ...

Real-time data analysis minimizes risk. Data analysis is almost always useful, ... Imagine, for example, a multi-family business where every property utilizes security cameras.

For example, a spike in outbound network traffic would show up on the meter, ... With real-time data analysis, companies can identify trends and monitor how well they are achieving goals.

Getting to real-time analysis. ... Of course, the sample data set only has 600K rows. I didn’t try to test with billions of rows, and I didn’t need to construct any indexes.

The term “real-time” is vague and can have multiple meanings, Wang acknowledged. For example, it can refer to the pace at which new data is being generated, where it’s sometimes a synonym for ...

Real-time analytics can play a key role in better understanding of the working structure and using data to address complex challenges while improving the performance of the assets.

The input data are the foundation to conduct real-time data-driven analysis for road safety. In recent years, with the advancement of big data, abundant data could be used for better crash prediction.

The impact of real-time data-based automation on industries is becoming increasingly apparent. None are due for greater disruption than manufacturing businesses.

For example, Catapult’s ‘MatchTracker’ combines player tracking data with real-time video to visualise what is occurring on the field and inform tactical decisions at the team or player level.