EMR is an all-in-one enterprise-ready big data platform that provides cluster, job, and data management services based on open-source ecosystems, such as Hadoop, Spark, Kafka, Flink, and Storm.
FollowThis article provides a fully verified solution (with code) to run LR and GBDT on a LibSVM-formatted dataset efficiently using TensorFlow.
This article looks at EMR Spark Relational Cache, how it can be useful in a number of scenarios, and how use it to synchronize Data Across two clusters.
This article looks into what cache and relational cache is and how you can use it to accelerate EMR spark in data analysis operations.
This article looks at Apache Arrow and its usage in Spark and how you can use Apache Arrow to assist PySpark in data processing operations.
