Amazon EMR provides a managed Hadoop framework to distribute and process data across dynamically scalable Amazon EC2 instances. It can also run popular distributed frameworks such as Spark and Presto, and interact with data in other AWS data stores such as Amazon S3 and Amazon DynamoDB.
Amazon EMR can handle big data analytics use cases, including log analysis, web indexing, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics.
Zoomdata provides interactive visual analytics of data stored in Amazon EMR. Zoomdata dynamically generates HiveQL queries that are pushed to Hive on EMR for execution. This approach leverages the rapidly-evolving query performance innovations in Hive and other execution engines available in Amazon EMR. Finally, Zoomdata features integration with the full range of data services in Amazon Web Services, including Redshift, Aurora, RDS, and Kinesis.
Zoomdata provides interactive visual analytics of Amazon EMR data, integrating with Redshift, Aurora, RDS, and Kinesis. Learn more today!