Cloudera Altus Analytic DB to address data silo challenges


Analytics and machine learning company Cloudera announced the upcoming beta release of Cloudera Altus Analytic DB.

Cloudera Altus Analytic DB brings the warehouse to the data through a unique cloud-scale architecture that eliminates complex and costly data movement, the company claims.

The service is built on the Cloudera Altus Platform-as-a-Service (PaaS) foundation and features self-service BI and SQL analytics capabilities.

Further, the Shared Data Experience (SDX) feature allows the same data and catalog to be accessible for analysts, data scientists, data engineers, and others using the tools they prefer – SQL, Python, R – all without any data movement.

The solution typically addresses the data management challenges across data silos, enabling easier collaboration with groups of data scientists and data engineers. With its ability to enable direct and iterative access to all data in cloud object storage, the solution delivers benefits to IT, business analysts, as well as non-SQL users.

Charles Zedlewski, senior vice president, Product at Cloudera, said, “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.”

Rajani Baburajan

[email protected]

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