Webinar Replay: SaaS Data Lakes

Simplifying Cloud Data Lakes for Rapid Analytics

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Discover Cazena

Self-Service Analytics

Easy access is critical for data lake success. Cazena's SaaS Console means that business users, data analysts, data engineers and data scientists can all share and access data easily, with their preferred tools and applications.

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Self-Service + Security

Cazena's SaaS Console enables simple, Self-Service Access to data and advanced analytics, with enterprise security, governance and compliance.

One Data Lake, All Analytics

SaaS Data Lakes centralize data for efficiency and flexibility. Some teams may want to use advanced analytics such as R, Python notebooks, and third-party machine learning tools (like DataRobot, Dataiku, etc) – while others want to use SQL or write custom apps.

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Plug & Play Access

With just a few clicks, authorized users can either connect their existing tools or use analytics capabilities built into the Cazena SaaS Console. It's also easy for enterprises to test and adopt new analytics capabilities with the Cazena AppCloud.

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Enterprise Data Science

Global data science teams love SaaS Data Lakes for secure sharing and collaboration. Many enterprises use Cazena both as a "data science sandbox" for experimentation, as well as a platform for quickly launching new analytic applications to production.

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Self-Service

Analytic Agility

SaaS Data Lakes support virtually any data or analytics use case, from BI to AI, search, data prep, IOT analytics, machine learning and more....

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Intuitive SaaS Console

Using a wide variety of tools is simple and secure with Cazena's tiled SaaS Console. The SaaS Console allows authorized users to easily access enterprise data and analytics tools, with a common set of data governance capabilities such as cataloging, role-based access, and more.

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