Big Data Battle Shifts Fronts
Hadoop struggles as enterprises explore newer, simpler alternatives for near
Streaming Analytics Basics: Kafka, Spark, and Cassandra
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
Why Is Big Data Analysis So Challenging?
There's gold to find in the big data forest, but most companies have no map and no
Big Data Trends for 2017: Hadoop Meets Machine Learning
Data and source-agnostic platforms will beat out siloed systems; Spark and machine learning continue to
How AmEx Found Gold With Machine Learning
Recommendation engines aren't just for Netflix and
