How unconscious bias, naysayers, and technical jargon can derail an advanced analytics
How real-time data is used in business analytics, including predictive, descriptive, and prescriptive uses. Edge analytics is also explored.
The Kafka-Spark-Cassandra pipeline has proved popular because Kafka scales easily to a big firehose of incoming events, to the order of 100,000/second and
Streaming analytics products should be able to handle huge amounts of data in
Small victories early on can help analytics leaders gain traction to make even more
Data engineers, data analysts, and data scientists are all valuable additions to businesses of all size and scope. But they each have a different job to
Hoe big data integration might solve the problem of the bust pick on NFL draft
A 100ms delay in page load time can reduce online sales by 1 percent. One solution: intelligent DNS
An open-source GPU initiative could drastically speed analytics, including analyses using deep learning.
Hadoop? R? Machine learning algorithms? A data scientist must know a lot more than programming and
There is still a gap between the data and choosing the best course of