Using SQL compliant applications and code to get the most out of Hadoop data

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Using SQL compliant applications and code to get the most out of Hadoop data

Abstract:
SQL has long been the most widely used language for big data analysis. The SQL-on-Hadoop ecosystem is loaded with both commercial and open source alternatives, each offering tools optimized for various use cases. Fledgling analytical engines are in incubation, but are they ready to become full-fledged members of your enterprise infrastructure? Are they ready to fly? In the real world, enterprises must understand their needs and select a SQL-on-Hadoop solution that addresses them. Points to consider: What are your analytics use cases-will a single user be working on data discovery or will multiple users perform daily analytics? Will you need to modify SQL to adjust to different deployment scenarios, or does a single solution exist for on-premises, Cloud, and Hadoop? Can a single solution support a variety of workloads from quick-hit dashboards to complex, resource-intensive, join-filled queries? Deriving value from open source innovation, while keeping your deployment options open, requires a field-proven and extensive SQL analytical database.

Bios:
Ben Smith is a Manager on the Vertica Product Marketing team, where he supports go-to-market planning, content development, marketing campaigns, competitive research, and more. Ben is a Vertica product evangelist, has a background in Iota and a passion for clean energy and smart building analytics.

Bryan Whitmore, Field Chief Technologist, Vertica
Bryan credits smart customers, who challenge vendors and tackle tough applications, with driving innovation. Bryan leverages 6+ years’ experience with Vertica’s most innovative and technically demanding customers, and 20+ years of Presales and Product Management experience gained from successful startups (Vertica Systems, Acoria Networks, and Arrowpoint), to identify and influence industry trends and ongoing product development. Bryan’s prior experience spans Networking, Systems, Storage, Applications, and high-value data architectures within Financial Services, Telecom, Gaming, and Social Media.

Agenda:
6:30 - Drinks/Apps and Networking
7 - Introduction
7:15 - Talks
8:30 - Wrap up/shut down

Getting Here:
AddThis HQ is located next to the Silver lines' Spring Hill Metro station. Free parking is also available. If you have trouble getting in please call Brad at[masked]

Food:
AddThis will provide beer, sodas, and HPE Vertica will sponsor the food. There are plenty of local bars available if people would like to continue the discussion after the talk.

Sponsors: HPE Vertica