How to integrate Amazon EMR in Amazon Redshift

Discover how to integrate Amazon EMR and Amazon Redshift and instantly get access to your data.

WITH DATA VIRTUALITY PIPES
Replicate Amazon EMR data into Amazon Redshift and analyze it with your BI Tool.
How to integrate Amazon EMR in Amazon Redshift with Pipes


About Amazon EMR

Amazon EMR provides a managed Hadoop framework that enables users to process large amounts of data in dynamically scalable Amazon EC2 instances. With Amazon EMR users can also run other frameworks like Apache Spark, HBase, Presto, and Flink. In addition, there is the option to interact with data in other AWS data stores such as Amazon S3 and Amazon DynamoDB.

About Amazon Redshift

Amazon Redshift is a data warehouse that allows its users to analyze data in conjunction with existing Business Intelligence tools and standard SQL. With Amazon Redshift users are enabled to perform complex analysis queries on multiple petabytes of structured data.

MOVE YOUR DATA WITH PIPES

Pipes allows you to connect to Amazon EMR, Amazon Redshift and more than 200 other cloud services and databases. Automate your data workflows with data pipelines.

DATA VIRTUALITY OFFERS TWO PIPES SOLUTIONS

depending on your needs.

Pipes

Easy and reliable data replication in the cloud

Pipes enables you to move data from any data source to your target storage or data warehouse on schedule. Integrate your data with just a few clicks and without any coding.

Pipes Professional

Advanced data replication hosted in the cloud or on-premises

Pipes Professional enables you to transform and model your data with SQL before replication. Customize your data pipelines and build data models across sources in 80% less time.

Pipes Professional features include:

  • Cloud/On-Premises Hosting
  • Complex Data Transformations
  • Advanced Jobs & Schedules
  • Multiple Target Storages
  • Custom Extraction Definitions
  • Job Dependencies
  • SQL Modelling Layer
  • Complex Replication Types
  • Custom Job Triggers
Your future with automated data workflows is only a few clicks away.