DevOps Articles

AWS Re:Invent Updates: Apache Spark, Redshift and DocumentDB

LAS VEGAS — Day three of https://aws.amazon.com/?utm_content=inline-mention‘ https://reinvent.awsevents.com/?utm_source=thenewstack&utm_medium=website&utm_content=inline-mention&utm_campaign=platform user conference saw a plethora of new data product releases, many unveiled by https://www.linkedin.com/in/swaminathansivasubramanian/, vice president of AWS data and machine learning, during his keynote. In short, people want data environments to perform the same functionality as the human brain in terms of connection, visualization, understanding, and likely ideas.

Here are some of the products: Amazon Athena for Apache Spark

“This integration enables https://docs.aws.amazon.com/emr/latest/ManagementGuide/emr-plan-ha-applications.html can access Redshift data to run up to 10x faster, compared to existing Redshift spark collectors,” Sivasubramanian said.

Elastic Clusters use sharing to partition data and integrate with other AWS services in the same way Amazon DocumentDB does today.