Big Data applications such as Hadoop and Hive are becoming more widely adopted and mainstream. There are increasing numbers of users who will select the cloud – whether private or public - as an efficient and scalable deployment vehicle for these large-scale distributed apps.

Hadoop implementations can involve deployment of dozens to thousands of application nodes - a scale that can become very time-consuming to manage. Embracing Big Data applications is one thing, but users will struggle to manage them due to a lack of tools designed for such complex applications in the cloud. New solutions are required to enable far simpler setup, configuration and provisioning of complex Hadoop and Hive deployments on a large scale – and also to manage them over their continuing lifecycle.

In his session next week at 12th Cloud Expo | Cloud Expo New York [June 10-13, 2013], Paul Speciale will demonstrate how to speed-up Hadoop deployments, and discuss the issues related to managing large distributed Workloads in public and private clouds. There is increasing need for solutions that manage these types of distributed Workloads holistically, rather than as piecemeal servers. Through new model-driven technologies, we cannot only provision multi-tier and distributed applications in a few simple clicks - but we can also enable ongoing lifecycle management of these apps as they scale and evolve over time.

Speaker Bio:
Paul Speciale is Chief Marketing Officer at Appcara where he leads the Marketing and Alliances for AppStack. He is fortunate to have been part of several early Cloud computing companies, including VP Product Management at Q-layer, one of the first cloud orchestration companies (acquired by Sun Microsystems in 2009), Savvis – where he lead the launch of the Savvis VPDC service, and Amplidata, a leader in cloud storage solutions. He has over 20 years of experience with a number of startups and Fortune 500 companies in storage, data management, and cloud computing.

• Requirements of a Cloud Database
• Building the Case for a Cloud-Based Government
• Calculating the True Value of Industry Specific Clouds
• The Big Challenge of Big Data and Hadoop Integration
• The Promise of an End-To-End SDN Solution: Can It Be Done?
• Best CIO Practices Shared from SHI’s Customers
• Big Data into a Small Storage Package with Cloud Storage
• Managing Legal Risks in Cloud Computing
• Enabling Real-Time Analytics Using an In-Memory Data Grid
• Developing the World’s First IaaS Marketplace
• Flash Storage and Networking Innovations for Cloud Computing
• Understanding SSD Technology to Avoid the Rip-and-Replace Game
• Clouds Unchained – How Enterprises Will Seek a Better Network to the Cloud
• Learn How To Use Google Apps Script
• Environmental Pressures Driving an Evolution in File Storage
• Is Cloud Safer Than Your Traditional Datacenter?
• Scaling Big Data in the Cloud
• NoSQL and Big Data – the No 'BS' Edition
• The Answer to Data Scientist Scarcity Lies in Automation
• Anatomy of an Internet-Scale Application
• Isolated Networks in the Cloud
• When APM Meets Big Data – Making Your Hadoop Jobs Faster
• Big Data on OpenStack
• Convergence and Interoperability Will Define Next-Gen Cloud Architectures
• Time to Mission @ the Speed of Cloud
• Getting the Most From Hadoop Development and Real-Time Dedicated Clusters
• Go Beyond IaaS to Deliver "Anything-as-a-Service"
• Optimize Your Virtual Environment to Obtain Maximum Business Value
• How to Stop Worrying and Love Your Cloud
• Solving the Cloud Talent Gap
• Don’t Believe the Hype: Getting to the Promise of Big Data
• Business Transformation with Cloud – Is Your Organization 'Cloud-Ready'?
• The Who, What and How of Selling Cloud to SMBs