How To Take Big Data to the Cloud
Partner Webinar Series
Hortonworks boasts a rich and vibrant ecosystem of partners representing a huge array of solutions that leverage Hadoop, and specifically Hortonworks Data Platform, to provide big data insights for customers. The goal of our Partner Webinar Series is to help communicate the value and benefit of our partners’ solutions and how they connect and use Hortonworks Data Platform.
Setting up a big data cluster can be difficult, especially considering the assembly of all the all the equipment, power, and space to make it happen. One option to consider is using the cloud for a practical and economical way to go. The cloud is also used to provide extra capacity for an existing cluster or for test your Hadoop applications.
Join our webinar and we will show how you can build a flexible and reliable Hadoop cluster in the cloud using Amazon EC2 cloud infrastructure, StackIQ Apache Hadoop Amazon Machine Image (AMI) and Hortonworks Data Platform. The panel of speakers includes Matt Tavis, Solutions Architect for Amazon Web Services, Mason Katz, CTO and co-founder of StackIQ, and Rohit Bakhshi, Product Manager at Hortonworks. These experts will discuss and demo:
- How to spin up large, fully configured Hadoop clusters, quickly, consistently, and reliably.
- How simple it can be to manage a large cluster of virtual machines in the cloud.
- How to select specific software components to meet your specific needs.
The live demonstration will use StackIQ Enterprise Data, Powered by Hortonworks Data Platform, to create and manage a virtual cluster on Amazon Web Services. It will include creating, configuring, and provisioning a Hadoop cluster, including loading it up and running real jobs on it.
Register for the webinar today, and join us on Thursday September 13 at 10 AM Pacific time, as we explore the world of Big Data in the Cloud with StackIQ and Amazon Web Services.
You may even be able to try it out yourself for free with a $150 coupon to access Amazon’s EC2 if you’re one of the first 25 to register. https://www3.gotomeeting.com/register/942019582