Simplify Hadoop migrations to the Azure cloud to accelerate analytics on Databricks.
Enterprises are investing in data modernization initiatives to reduce cost, improve performance, and enable faster time to insight and innovation. These initiatives are driving the need to move petabytes of data to the cloud without interruption to existing business operations. This session will share some “been there done that” stories of successful Hadoop migrations/replications using a LiveData strategy in partnership with Microsoft Azure and Databricks, including:
Jeff has over 12 years working in the Azure storage team, currently focused on driving Big Data Performance testing, competitive analysis, and building a big data and analytics partner ecosystem around Azure Data Lake. His previous roles include working with the Azure Customer Advisory team as a program manager, working as an Azure Senior Cloud Architect, and as a consultant at CTS. Jeff has a BS in Computer and Information Sciences from the University of Alabama.
Paul has overall responsibility for WANdisco’s product strategy, including the delivery of product to market and its success. This includes directing the product management team, product strategy, requirements definitions, feature management and prioritization, roadmaps, coordination of product releases with customer and partner requirements and testing. Previously Regional Chief Technology Officer for TIBCO Software in Asia Pacific and Japan. Paul has a Bachelor of Science with first class honors and a Bachelor of Engineering with first class honors from the University of Western Australia.