Scott Koegler
Scott Koegler is Executive Editor for Big Data & Analytics Tech Brief
Here's What's Next for Big Data in 2020
- Monday, 27 January 2020
With just a few weeks into 2020, it is now time to make predictions on things that are likely to take place in various major industries. I will begin with arguably one of the most talked-about topics, the aspect of big data. The concept of big data has been here for some time now and is emerging as one of the most important components of today’s business landscape. For this reason, it is imperative that we predict what may take place over the coming months and implications it may have on businesses. Here are things you should expect in days to come.
Read more...Data is Helping Trains Stay on Track on Time
- Wednesday, 22 January 2020
Data is one of the essential components that determines the success of a company regardless of the industry it operates. This is precisely the reason the transport industry is banking on it to propel its operations to the next level. One of the subsectors that has taken advantage of data is train transport that’s using it to ensure trains stay on time and operate safely. In the Netherlands for instance, big data analytics is doing an amazing job in the management of trains and railways. The country has in the past faced numerous challenges such as lateness, overheating of trains, freezing of switches and other maintenance problems.
Read more...Big Pipelines Leverage Big Data to Keep Flowing
- Monday, 30 December 2019
As digital transformation continues gaining momentum, a new generation of companies that depend on data is also emerging. Regardless of the industry that these organizations fall into, they are now embracing new applications that rely on distributed data for production and enhanced efficiency. As these organizations continue embracing big data technologies and the Internet of Things (IoT), that are necessary for consumer analytics, fraud prevention and marketing, new applications that address these needs keep emerging. This calls for radically new methods of dealing with large volumes of data in real-time.
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