"Data is the new science. Big Data holds the answers." - Pat Gelsinger, the CEO of VMware, Inc. Organizations use their data to support and influence decisions and build data-intensive products and services, such as recommendation, prediction, and diagnostic systems. Apache Spark is a fast and general engine for large-scale data processing ,built around speed, ease of use, and sophisticated analytics. It was originally developed at UC Berkeley in 2009.Spark is a good fit for the Hadoop open-source community as its built on top of the Hadoop Distributed File System (HDFS).
Thinking if the public cloud is right for you? Trying to more intelligently plan cloud adoption without expensive and manual efforts? Already on the cloud and trying to solve cost and security, governance concerns?As you consider public cloud, you’re challenged to make your organization’s cloud journey as seamless and cost-efficient as possible. Learn best practices on how you can build a hybrid, multi-cloud environment that is cost-efficient and productive while maintaining security and seamless application delivery.
With Microsoft’s Azure Virtual Desktop platform, companies can securely outsource all their hardware and data centers, provide Windows desktops to workers anywhere, and leverage Azure’s scalable pay-what-you-use pricing model.
This webinar covers:
How to deploy a new virtual machine
The best place to deploy a new application in your environment
Ways to resolve application problems quickly
Easy steps to ensure compliance
How to forecast for the future