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Cloudera changes the game in cloud-based data warehouses with Cloudera Altus Analytic DB (beta)

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LAS VEGAS, Nov. 28, 2017 /PRNewswire/ — AWS re:Invent — Cloudera, Inc., (NYSE: CLDR), the modern platform for machine learning and analytics, optimized for the cloud, announced the upcoming beta release of Cloudera Altus Analytic DB. Cloudera Altus Analytic DB is the first data warehouse cloud service that brings the warehouse to the data through a unique cloud-scale architecture that eliminates complex and costly data movement. Built on the Cloudera Altus Platform-as-a-Service (PaaS) foundation, Altus Analytic DB delivers instant self-service BI and SQL analytics to anyone, easily, reliably, and securely. Furthermore, 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 – all without any data movement.

For many enterprises, challenges with existing analytic environments have resulted in a number of limitations for both business analysts and IT. Constraints on resources mean critical reporting and SLAs are given priority while limiting self-service access for other queries and workloads. To support additional workloads and access beyond SQL, data silos have proliferated, resulting in inefficiencies managing the multiple data copies, difficulties in applying consistent security policies, and governance issues. While business users struggle to analyze data across these silos and limiting the ability to collaborate with groups including data scientists and data engineers.

Cloudera Altus Analytic DB removes those limitations through the speed and scale of the cloud. Central to Altus Analytic DB is its unique architecture that brings the warehouse to the data, enabling direct and iterative access to all data in cloud object storage. This simple, yet powerful design delivers dramatic benefits for IT, business analysts, as well as non-SQL users.

IT benefits from simple PaaS operations to easily and elastically provision limitless isolated resources on-demand, with simple multi-tenant management and consistent security policies and governance. Business analysts get immediate self-service access to all data without risking critical SLAs, and with predictable performance no matter how many other reports or queries are running. Additionally, they can 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 database, shared data and associated data schemas and catalog are always available for iterative access beyond just SQL, so data scientists, data engineers, and others can seamlessly

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