Amazon Web Services
Why Cloudera + Amazon Web Services?
Run the most powerful, complete, and secure enterprise data hub on the flexible and scalable AWS cloud. Cloudera on AWS delivers.
About Amazon Web Services
Amazon Web Services offers a broad set of global compute, storage, database, analytics, application, and deployment services that help organizations move faster, lower IT costs, and scale applications. These services are trusted by the largest enterprises and the hottest start-ups to power a wide variety of workloads including web and mobile applications, data processing and warehousing, storage, archive, and many others.
Joint Solution Overview
Running Cloudera Enterprise on AWS provides IT and business users with a data management platform that can act as the foundation for modern data processing and analytics; an enterprise data hub (EDH) with complete data security and governance that runs on Amazon EC2 and integrates with AWS data services like Amazon S3, Amazon RDS, and AWS Identity and Access Management (IAM).
Cloudera Live on AWS is a fast and easy way to learn Apache Hadoop and get started with Cloudera Enterprise. This test environment includes all-inclusive interactive tutorials to begin experimenting with Hadoop and explore the full capabilities of Cloudera Enterprise to see how you can get more value from your data, fast. Integrated partner tutorials are also available through familiar BI tools like Tableau and Zoomdata.
The Cloudera Enterprise Data Hub – AWS Quick Start enables users to build a 12-node Cloudera Enterprise cluster on AWS by integrating Cloudera Director with AWS services such as Amazon EC2 and Amazon VPC.
As an integrated part of Cloudera Enterprise, Cloudera Director makes it easy to deploy and manage production-ready Hadoop on AWS — complete with compliance-ready security and governance, and optimized backup and disaster recovery.
- Increased agility – Users can burst and reduce compute and storage to meet business demands, or maintain a persisted big data environment
- Faster deployments – With a dev-ops deployment model and no hardware provisioning requirements, Hadoop environments can be deployed in minutes
- Reduced data movement – Much of today’s unstructured data is stored in Amazon S3 object store and available for big data workloads without having to be moved