Open Analytics talks

Our 2nd meetup will feature two prominent and dynamic speakers on how open source Big Data technologies lead to success. We have a new location at Jana to which we are grateful for their sponsorship.

Agenda:

6:30 - 7:00 - Networking

7:00 - 7:10 - Message from our sponsors

7:10 - 7:50 - Jeff Kelly - "Open Source is the better way"

7:55 - 8:45 - Louis Calisi - "Processing 200 billion XML lines/day at TripAdvisor"

8:45-9:00 - Thanks and ideas for next month's meetup

Talk #1: As mainstream enterprises start to get serious about Big Data analytics (BDA), they need to make a number of technology decisions that will have long term implications for the success or failure of their BDA projects. Among the most important decisions is whether to approach BDA with traditional, proprietary products or with open source frameworks and technologies. In this presentation, Pivotal's Jeff Kelly will discuss why an open source approach, though not without its challenges, is the better way to lay the technology foundation for extracting the most value from your data.

Bio: Jeff Kelly is a Big Data strategist at Pivotal Software. In this role, Jeff spends his time researching, writing and speaking about trends impacting Big Data analytics in the enterprise and best practices for success. Prior to joining Pivotal, Jeff was the lead Big Data analyst at research firm Wikibon, where he published the industry's first Big Data market forecast in 2012. Before that, Jeff was a technology journalist with TechTarget covering the data management and business intelligence markets.

Talk #2: I've just wrapped up developing a system for Tripadvisor that uses Kafka and Samza to replace our existing ETL systems. It's currently processing about 200 billion lines of XML a day.

Bio: Louis Calisi is a Principal Software Engineer at TripAdvisor. Louis has 14 years of software engineering experience in a wide variety of industries and technologies.