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    Versent & Databricks Unified Data Analytics Platform

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    Sold by: Versent 
    Versent professional services and Databricks Unified Data Analytics Platform deliver a cloud-based service for running your analytics in one place - from highly reliable and performant data pipelines to state-of-the-art machine learning.
    Listing Thumbnail

    Versent & Databricks Unified Data Analytics Platform

     Info
    Sold by: Versent 

    Overview

    Databricks Unified Data Analytics Platform is a cloud-based service for running your analytics in one place - from reliable and performant data pipelines to state-of-the-art machine learning. From the original creators of Apache Spark and MLflow, it provides data science and engineering teams ready-to-use clusters with optimized Apache Spark and various ML frameworks(e.g., TensorFlow) coupled with powerful collaboration capabilities to improve productivity across the ML lifecycle.

    You may use the platform until your commitment is consumed(drawn down against commitment amount based on applicable DBU rates); any additional usage beyond the commitment will require negotiation with Databricks for the purchase of more DBUs to continue your use of Databricks. Databricks may suspend or terminate your account for exceeding your usage commitment. Any unused commitment expires at the end of the commitment period. Either party may cancel automatic renewal by providing notice at least ten (10) days in advance of the renewal term.

    With professional services from Versent available in AWS Marketplace, customers have a simplified way to purchase and be billed for both software and related services in a centralised place.

    Customers can further streamline their purchase of software with standard contract terms to simplify and accelerate procurement cycles.

    Get in touch with our expert team today: cto-services@versent.com.au 

    Highlights

    • Reliable and performant infrastructure with ready-to-use cluster and enterprise-grade security that simplifies DevOps through auto-config and auto-scaling capabilities.
    • Build reliable data pipelines at scale and schedule interactively or with the Databricks production job scheduler.
    • Outstanding collaboration across the data and ML lifecycle powered by notebooks (supporting SQL, R, Python, Scala and Java), extensive ecosystem integrations including a plethora of data connectors and ML frameworks (TensorFlow, Keras, XGBoost, and scikit-learn).

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    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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    Get in touch with our expert team today: cto-services@versent.com.au 

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