Big Data Week Message Board › Big Data Week is go - Logistics for Tuesday 24th April Event
Good evening all!
Big Data Week is live and what a week we have planned. I'm really looking forward to meeting you all at the community meetup on Tuesday at 5-8pm. This is shaping up to be the Big Data event of the year! We've got an incredible panel session planned, featuring the brightest minds in the Big Data industry:
- Doug Cutting, co-founder of the Apache Hadoop project and creator of Nutch and Lucene
- Nick Halstead - Founder/CTO DataSift
- Hilary Mason – Bit.ly Chief Scientist
- Andy Kirk – Visualising Data
- Edd Dumbill – Program Chair Strata Conference – Moderator
This is a two way Q&A panel. We will have mics and runners in the audience so when prompted, please ask questions and take part in the debate! We would love to hear your thoughts.
Location & Timing
London W2 2TY
5.00 PM - Registration opens
5.30 - 6.30 PM - Networking with drinks and nibbles
6.30 PM - Introduction from Stewart Townsend, DataSift
6.45 PM - Panel commences
8.00 PM - Finish.
If you have any questions about the timings, venue, location then email me direct firstname.lastname@example.org and Ill get back to you ASAP.
5 Big Questions on Big Data
A goal of BigDataWeek is to understand where the industry is today so we can help serve it better in the future. We've pulled together a 5 question survey - please spend a minute to complete it and we'll send you the summary of the analysis we gather from across the globe.
Bonus! Take part in a Twitter Q&A with the CTO of the United States
We're excited to announce that the U.S. Chief Technology Officer and Assistant to the President, Todd Park (Todd Park), will be hosting a live Twitter Q&A on Tuesday at 7pm. While you'll be engrossed in the London event, it's still a great opportunity to Tweet a question to Todd to ask about his vision for Big Data and how it can transform government. More details on the event are here.
Thanks to our supporters
This event wouldn't have been possible without our supporters, so a massive thanks to Oracle and DataSift for making this happen and I suggest you go check out what both of them are doing in the Big Data space.