event stream processing

1月 102017
 

Streaming technologies have been around for years, but as Felix Liao recently blogged, the numbers and types of use cases that can take advantage of these technologies have now increased exponentially. I've blogged about why streaming is the most effective way to handle the volume, variety and velocity of big data. That's […]

The post Streaming to better data quality appeared first on The Data Roundtable.

10月 182016
 

Hadoop may have been the buzzword for the last few years, but streaming seems to be what everyone is talking about these days. Hadoop deals primarily with big data in stationary and batch-based analytics. But modern streaming technologies are aimed at the opposite spectrum, dealing with data in motion and […]

The post To stream or not to stream? appeared first on The Data Roundtable.

8月 312016
 

It’s nearly impossible to avoid the debate. From politicians and pundit commentary, to dinner table discussions across the United States, the hot topic for the last several years has been the rising cost of health care. Consider that health care expenditures in the US were $3 trillion in 2014 and are […]

The post Streaming data and wearables: Allies against rising health care costs appeared first on The Data Roundtable.

8月 182016
 

You could say we've been working toward the internet of things (IoT) since computers were first invented. Look at how airplanes have changed from flying by wire to now, quite literally, flying by IoT (or connected plane). The connected car is another example of how big data analytics is the […]

Big data analytics had to come before IoT was published on SAS Voices.

8月 032016
 

Applying analytics to IoT data provides opportunities for cities to use information from sensors, citizens and connected infrastructure in unprecedented ways.

Analytics for IoT gets smart cities moving in the right direction was published on SAS Voices.

7月 122016
 

Do you have a need for real-time, streaming analytics? What technology are you considering? How are you going to enable rapid development and deployment of your analytical models all in real-time? SAS has partnered the the Hortonworks HDF team to develop a nifi processor that allows SAS machine learning models and […]

Streaming analytics with SAS Event Stream Processing and Apache Nifi was published on SAS Voices.

6月 142016
 

“Good afternoon, Mr. Yakamoto. How did you like that three-pack of tank tops you bought last time you were in?” Washington D.C. Year 2054. Chief of PreCrime John Anderton is running from the law for a crime he has not committed yet. After a risky eye transplant in order to […]

Location analytics and the 'Minority Report' approach was published on SAS Voices.

5月 192016
 

The numbers are daunting. More than 40 million Americans have their identities stolen each year. Credit card companies lose more than $200 billion annually due to fraud. Cybercrime-related losses exceed $3 million per claim for large companies. If you’re like me, those stats are enough to give pause. To fuel the concern, […]

The post Streaming data analytics: A better way to fight fraud and cybercrime appeared first on The Data Roundtable.

5月 132016
 

I've spent much of my career managing the quality of data after it was moved from its sources to a central location, such as an enterprise data warehouse. Nowadays not only do we have a lot more data – but a lot of it is in motion. One of the […]

The post The quality of data in motion appeared first on The Data Roundtable.