Big Data - No Fluff - lets get started with Hadoop #11


Details
Welcome Back both to our wonderful existing members and all the new Big Data Vikings!
Its been a little while since we last gathered, we have been busy and have a lot of new and exciting technology and experiences to share!! So come along and fill your brains full of knowledge!!!!
Our numbers have grown now to 800+ which is very exciting. We are so excited by the interest, engagement and passion show at every meetup. So Big Thank you for your patience while we have been away exploring Big Data the next level whats lot of real cases and real experiences :-)
As always we will present some great introductions to Big Data, show you what its all about, give some exciting real examples, hands on demonstrations, sharing.
So come build your network and knowledge all at the same time. The content is for everyone no matter your skills and you will gain some valuable insights and understanding.
Agenda:
Refreshments: Food Tapas - sponsored by Cloud Explorers!
(Its a bar so we can´t provide drinks but feel free to buy yourself a beer or soda on your way in :) Please be good with your RSVP so we have enough for everyone :-)
- Introduction and Welcome - Cloud Explorers - Stephen Karl Ranson
Introduction to our April 2017 Meetup with some updates and activities.
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Speaker #1- Working with professional Analytics Data in your Data Lake - Stephen - CEO - Cloud Explorers Norway
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Speaker #2- Making a Churn Model in Spark and R on Hadoop - Masa Nekic - Bring Dialog
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Next Meetup - Details & Suggestions, Feedback, Questions
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Big Data Quiz - Fun Quiz all can join to see how good the Bid Data Vikings
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Socializing - Sharing & Networking (Ophelia Bar & Club)
We are also interested to find some core Big Data Vikings, both individuals and companies that are willing to involve themselves with the group, both with time and sponsorship to help us develop the group. Ensuring we build a healthy open community.
Just contact me or one of the other organizers if you would like to help, participate or speak, or if you have any questions or suggestions.

Big Data - No Fluff - lets get started with Hadoop #11