Hybrid Architecture for Big Data: On-Premises and Public Cloud. Por bluedata.com - Seguridad Mania.com - España y América Latina

Join this webinar to learn how to deploy Hadoop, Spark, and other Big Data tools in a hybrid cloud architecture. More and more organizations are using AWS and other public clouds for Big Data analytics and data science. But most enterprises have a mix of Big Data workloads and use cases: some on-premises, some in the public cloud, or a combination of the two. How do you support the needs of your data science and analyst teams to meet this new reality? In this webinar, we’ll discuss how to: -Spin up instant Spark, Hadoop, Kafka, and Cassandra clusters – with Jupyter, RStudio, or Zeppelin notebooks -Create environments once and run them on any infrastructure, using Docker containers -Manage workloads in the cloud or on-prem from a common self-service user interface and admin console -Ensure enterprise-grade authentication, security, access controls, and multi-tenancy Don’t miss this webinar on how to provide on-demand, elastic, and secure environments for Big Data analytics – in a hybrid architecture.