Building a Streaming Analytics Stack with Apache Kafka and Druid | ConfluentOne popular trend in the data world recently is the rise of stream analytics. Organizations are increasingly striving to build solutions that can provide immediate access to key business intelligence insights through real-time data exploration. Architecting a data stack to transmit, store, and analyze streams at scale can be a difficult engineering feat without the proper tools. Luckily, existing
Spark - Sum of row values
Reshaping/Pivoting data in Spark RDD and/or Spark DataFrames
How to pivot Spark DataFrame?
[SPARK-8992] Add Pivot functionality to Spark SQL - ASF JIRA
Reshaping Data with Pivot in Apache Spark
