Shared Infrastructure for Big Data: Separating Compute and Storage - Seguridad Mania.com - España y América Latina

Join this webinar with EMC and BlueData for a discussion on cost-effective, high-performance Hadoop infrastructure for Big Data analytics. When Hadoop was first introduced to the market 15 years ago, it was designed to work on dedicated servers with direct-attached storage for optimal performance. This was sufficient at the time, but enterprises today need a modern architecture that is easier to manage as your deployment grows. Find out how you can use shared infrastructure for Hadoop – and separate compute and storage – without impacting performance for data-driven applications. This approach can accelerate your deployment and reduce costs, while laying the foundation for a broader data lake strategy. Get insights and best practices for your Big Data deployment: - Learn why data locality for Hadoop is no longer relevant – we’ll debunk this myth. - Discover how to gain the benefits of shared storage for Hadoop, such as data protection and security. - Find out how you can eliminate data duplication and run Hadoop analytics without moving your data. - Get started quickly and easily, leveraging virtualization and container technology to simplify your Hadoop infrastructure. And more. Don't miss this informative webinar with Big Data experts.