As companies scale their data infrastructure on Google Cloud, they need a self-service data platform with integrated tools that enables easier, more collaborative processing of big data workloads. Join Qubole and Google experts to learn: - Why a unified experience with native notebooks, a command workbench, and integrated Apache Airflow are a must for enabling data engineers and data scientists to collaborate using the tools, languages, and engines they are familiar with. - The importance of enhanced versions of Apache Spark, Hadoop, Hive and Airflow, along with dedicated support and specialized engineering teams by engine, for your big data analytics projects. - How workload-aware autoscaling, aggressive downscaling, intelligent Preemptible VM support, and other administration capabilities are critical for proper scalability and reduced TCO. - How you can deliver day-1 self-service access to process the data in your GCP data lake or BigQuery data warehouse, with enterprise-grade security.

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11:00 - 12:00 hs GMT+1

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  • Mobile Banking Malware

    19:00 - 20:00 hs GMT+1

    Fecha
    Lun 27-Ene-2020, 19:00 - 20:00 hs GMT+1
    Descripción
    As people are constantly depending on their cell phones, cybercriminals have also focused their efforts and mobile banking malware has increasingly become a threat. In this webinar, Edan Cohen will discuss the two main types of mobile banking malware, mobile (...)
    Cerrar
  • Mobile Banking Malware

    19:00 - 20:00 hs GMT+1

    Fecha
    Lun 27-Ene-2020, 19:00 - 20:00 hs GMT+1
    Descripción
    As people are constantly depending on their cell phones, cybercriminals have also focused their efforts and mobile banking malware has increasingly become a threat. In this webinar, Edan Cohen will discuss the two main types of mobile banking malware, mobile (...)
    Cerrar
Mar 28 de Enero de 2020
Mié 29 de Enero de 2020
Jue 30 de Enero de 2020
Vie 31 de Enero de 2020
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Dom 02 de Enero de 2020

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