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Cloudera Announces Cloudera Altus Analytic DB


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Cloudera has announced the upcoming beta release of Cloudera Altus Analytic DB, a data warehouse cloud service that aims to bring the warehouse to the data through a cloud-scale architecture to eliminate costly data movement.

Built on the Cloudera Altus Platform-as-a-Service (PaaS) foundation, Altus Analytic DB delivers self-service BI and SQL and, by leveraging the Shared Data Experience (SDX), the same data and catalog is accessible for analysts, data scientists, data engineers, and others using the tools they prefer – SQL, Python, R  – without any data movement.

According to Cloudera, in order to support additional workloads and access beyond SQL, data silos have proliferated in organiations, resulting in inefficiencies in managing the multiple data copies, difficulties in applying consistent security policies, and governance issues. In turn, business users are struggling to analyze data across these silos and there is limited ability to collaborate with groups including data scientists and data engineers.

Cloudera Altus Analytic DB is intended to remove those limitations through the speed and scale of the cloud and an architecture that brings the warehouse to the data, enabling direct access to all data in cloud object storage. The service allows users to continue to leverage existing tools and skills, including integrations with leading BI and integration tools such as Arcadia Data, Informatica, Qlik, Tableau, Zoomdata, and others. With no need to move data into the Cloudera Altus platform, users can quickly spin up clusters for business reporting, exploration, and even use Altus Data Engineering to deploy data pipelines, all over the same data and Shared Data Experience without impacting performance or SLAs, said said Charles Zedlewski, senior vice president, Product at Cloudera.

The initial beta of Cloudera Altus Analytic DB will be available on Amazon Web Services (AWS).

To join the beta, go to www.cloudera.com/products/altus/altus-analytic-db/access-altus-analytic-db.html.


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