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
As Oracle recounts, Apache Spark excels at running machine learning queries on massive data
Data and source-agnostic platforms will beat out siloed systems; Spark and machine learning continue to
"Insight platforms" come in three types: visual, predictive, and
An overview of GPU advances, how some companies are already using the tech, and why GPUs are key to cognitive computing.
Running Spark on the mainframe can be advantageous because data is co-located. One use is fraud
Companies will turn to faster databases, predictive analytics, and machine learning.
Telecoms have valuable real-time data they can sell for urban planning. The challenge: build a platform to analyze
“When we look at what's behind the dynamic growth in the big data arena, right now we see it at Apache