Cloud service models have become the new norm for enterprise deployments in almost every category — and big data is no exception. As the volume, variety, and velocity of data increase exponentially, the cloud offers a more efficient and cost-effective option for managing the unpredictable and bursty workloads associated with big data compared to traditional on-premises data centers. Organizations looking to scale their big data projects and implement a data-driven business culture can do so with greater ease on the cloud. However, adopting a cloud deployment model requires a cloud-first re-architecture and a platform approach rather than a simple lift and shift of data applications and pipelines. Join experts from Microsoft and Qubole as they discuss the modern cloud-native data lake architecture, how it contrasts with cloud data warehouses and how the use of Azure Data Lake Storage and Qubole can deliver secure, enterprise-scale analytics and machine learning. In this webinar, you'll learn: - Benefits of migrating to a modern cloud-native data lake - Choosing the right data architecture - Getting your data lake right with Azure ADLS and Qubole - Demo

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19:00 - 20:00 hs GMT+1

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  • Ask an Expert: Windows

    19:00 - 20:00 hs GMT+1

    Fecha
    Vie 2-Ago-2019, 19:00 - 20:00 hs GMT+1
    Descripción
    As Ansible has grown in popularity, so have its ability to automate Windows systems. Whether you’re deploying Windows in the cloud, or managing on-prem instances, Ansible offers a number of capabilities that can help with the deployment and management of (...)
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  • Ask an Expert: Windows

    19:00 - 20:00 hs GMT+1

    Fecha
    Vie 2-Ago-2019, 19:00 - 20:00 hs GMT+1
    Descripción
    As Ansible has grown in popularity, so have its ability to automate Windows systems. Whether you’re deploying Windows in the cloud, or managing on-prem instances, Ansible offers a number of capabilities that can help with the deployment and management of (...)
    Cerrar
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