Workshops:March 10-11, 2016
Topic: Data Science
Tracks
Covering innovative topics
Monday, 7 March
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Back to Java
What to expect in Java 9 and Spring 5
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Stream Processing @ Scale
Big data, fast-moving data. Practical implementation lessons on Real-time Data
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DevOps & CI/CD
Lessons/stories on optimizing the deployment pipeline
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Head-to-Tail Functional Languages
Free-range Monads, Tackling immutability, tales from production, and more...
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Architecting for Failure
Your system will fail. Take control before it takes you with it
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21st Century Culture from Geeks on the Ground
New ways to organise technology companies and workplace culture
Tuesday, 8 March
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Architectures You've Always Wondered about
In-depth technical case studies from giants like: Microsoft, Netflix, Google, Twitter, and more...
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Close to the Metal
Get efficiency back into your code, concepts like: cache efficient algorithm and lock free data structures
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Containers (in production)
Real-world lessons on scalability and reliability in production container deployments
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Modern CS in the real world
Real-world Industry adoption of modern CS ideas
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Security, Incident Response & Fraud Detection
Master-level classes on building security into your system and responding to incidents when things go wrong.
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Optimizing You
Keeping life in balance is always a challenge. Learning lifehacks
Wednesday, 9 March
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Disrupting Finance
Technology advances in finance (blockchain, P2P, Machine Learning, API's)
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Modern Native Languages
Modern native languages: Safe efficiency with Go, Rust, Swift
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Full Stack Javascript
Level up Javascript with topics like Angular, React/ReactNative, Node, Mongo/Couch/Other, Falcor, GraphQL, etc
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Data Science & Machine Learning Methods
A developer's data science and machine learning toolkit
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Microservices for Mega-Architectures
Practical lessons on Microservices success.
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Modern Agile Development
Revisiting Agile today and tackling challenges we are seeing in the wild
