Migrating Hadoop analytics to Spark in the cloud without disruption (sponsored by WANdisco)
Who is this presentation for?
- Big data architects (Spark and Hadoop), software providers, cloud architects, data executives, and data science managers
The cloud is now the first choice for large-scale analytics, but organizations that have sunk investment into Hadoop on-premises are also challenged with maintaining operations. This can make a move to modern analytics platforms like Spark difficult or impossible. Paul Scott-Murphy dives into innovations for large-scale migration that can take full advantage of cloud-based analytics without disrupting operations.
This session is sponsored by WANdisco.
- Familiarity with Hadoop, Spark, and cloud storage technologies
- Experience with production systems (useful but not required)
What you'll learn
- Discover new innovations for large-scale migration without disrupting operations
Paul Scott-Murphy is vice president of product management at WANdisco, where he has overall responsibility for the definition and management of WANdisco’s product strategy, the delivery of product to market, and its success. This includes the direction of the product management team, product strategy, requirements definitions, feature management and prioritization, road maps, coordination of product releases with customer and partner requirements, user testing, and feedback. Paul has built his career on technical leadership, strategy, and consulting roles for major organizations. Previously, he was the regional CTO for TIBCO Software in Asia-Pacific and Japan.
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