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Why Cloudera + Amazon Web Services?

Run the modern platform for machine learning and advanced analytics on the flexible and scalable AWS cloud.  With Cloudera Altus, Cloudera a big data managed service in the cloud for data engineering.

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Joint solution overview

Cloudera on AWS helps organizations get more value from their data in the cloud. This modern machine learning and analytics platform lets customers rapidly process and explore all their cloud data wherever it lives, and then turn that information into applications or reports that drive greater customer insight, improve products and services, and reduce business risk.  All while leveraging the power of the public cloud.

Enterprises are adopting a hybrid cloud approach

While more Cloudera customers want to move apps and data to the cloud, they also want to continue using their data centers. By having both on-premises and cloud environments, organizations will increase their agility. It’s easy to see why hybrid is gaining momentum. In a recent study, 451 Research found that over 60 percent of companies either have a hybrid cloud strategy in place or are actively deploying pilots. Looking ahead to the near future, hybrid cloud will only become more prevalent. A hybrid approach fits for many organizations as it allows them to make best use of on-premises infrastructure while using the cloud for additional or bursty workloads. Customers can achieve this hybrid strategy with Cloudera.

With Cloudera, customers have the flexibility to accommodate multi-disciplinary workloads as they wish. Additionally, Cloudera’s hybrid-first approach allows customers to take advantage of cost efficiencies. As demands fluctuate, it’s easy for customers to scale compute resources up or down in the cloud, using and paying only for what they need.

Cloudera Altus is a platform-as-a-service that makes it easy and cost-effective to process large-scale data sets in the cloud.

Cloudera Altus Director makes it easy to deploy and manage the lifecycle of Cloudera Enterprise clusters on AWS. Cloudera Altus Director is now available in the AWS Marketplace. Try it today

Cloudera Enterprise Reference Architecture for AWS Deployments.

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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.

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Benefits of Migrating Cloudera to AWS

  • Maintain existing processes: Being that you already have Cloudera deployed on-premises, you can continue with your preferred analytic tools and applications, while leveraging the most powerful object storage platform available on the cloud: Amazon Simple Storage Service (Amazon S3).
  • Ease Of migration: Cloudera natively integrates with AWS storage services; whose flexible ingestion and replication capabilities make it easy to move workloads to the cloud. You can leverage Cloudera BDR to initiate near-instant replication to AWS, accelerating your migration.
  • Deployment flexibility: Cloudera Enterprise can read and write directly from AWS object storage and on-premises targets, enabling your teams to work wherever it’s most convenient, efficient, and affordable.
  • Faster time-to-insight: AWS provides the greatest flexibility for deploying Hadoop, which excels at large-scale data management. Cloudera users can now bypass prolonged infrastructure selection and procurement processes to rapidly implement Cloudera, immediately realizing tangible business value from their data.
  • Retire legacy apps/hardware: Once you get up-and-running on AWS, you can deprovision old hardware systems and applications. With the pay-as-you-go pricing of AWS, you only have to pay for what you use, and have access to all the latest emerging technologies.

Coming soon: Cloudera-to-AWS cloud-migration guide

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