Google Compute Engine allows businesses to run virtual servers on Google's cutting edge datacenter technology. Learn about five features - and how to use them - that make Google Compute Engine servers the most powerful infrastructure as a service in the market.Read more >
Learn the fundamentals of Google Compute Engine in less than five minutes. Brian will explain the key services and how they work together to run your applications on Google's infrastructure. Automation and APIs are next, wrapping up with pointers to further details.Read more >
The Infrastructure as a Service space is rapidly expanding, but is it evolving to meet your needs? Google Compute Engine was designed to help users build, scale, and analyze quickly on the same infrastructure that powers the most advanced and innovative technology in the world. Learn what happens when the cloud gets a little more Googley.Read more >
Erfahren Sie kurz und bündig alles Wissenswerte über diese kompakte Plattform für den Betrieb von virtualisierten Umgebungen.Read more >
Enterprise storage infrastructures are gradually sprawling out across the globe, and consumers of data increasingly require access to remote storage resources. The recent rise in popularity of Cloud computing and Cloud storage is further scattering stored data across multiple geographies and storage technologies.
In this webcast, you'll learn how to separate compute from storage for better performance and ease of management.
With datasets continuing to grow larger and cloud computing getting easier to set up and use, one of the biggest challenges facing IT departments responsible for managing Apache Hadoop environments is how to efficiently support and enable data storage. The main choice for moving data to cloud-based Hadoop deployments is to use HDFS, but efficiencies and processes have not gotten to a level that is both sustainable and repeatable while being affordable for IT organizations.
In this 30-minute webinar, speaker Scott Jeschonek will look at the current best practices of using HDFS and Hadoop completely in the cloud. Next, he will highlight the limitations of this approach by contrasting classic on-premises Hadoop with Hadoop in the cloud, suggesting that the two are not the same. Finally, a new approach will be proposed that enables the use of Hadoop compute clusters while data is kept in its on-premises source instead of loading into the cloud. Participants will be able to consider a "Hybrid Hadoop" workflow that provides the economics needed for replication with more flexibility in the data source location, and the efficiency of eliminating the load process before cloud compute jobs.
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 10 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.
Join this live Q&A session dedicated to AWS Core Services, Compute and Storage, to get an immediate answer to your technical questions.
Either submit questions during the session or ahead of time to firstname.lastname@example.org. In the email please include your NAME, COMPANY and JOB TITLE.
The session will be conducted in English.