InfoQ Homepage QCon London 2014 Content on InfoQ
-
Next Gen Hadoop
Akmal B. Chaudhri introduces Apache™ Hadoop® 2.0 and Yet Another Resource Negotiator (YARN).
/presentations/hadoop-yarn/en/mediumimage/Akmbig.jpg)
-
What Can Hadoop Do for You?
Eva Andreasson presents typical categories of problems that are commonly solved using Hadoop and also some concrete examples in each category.
/presentations/hadoop-usage-examples/en/mediumimage/Evabig.jpg)
-
From Experiments to Insights at Pinterest
Andrea Burbank discusses the evolution of Pinterest's A/B testing platform and how one can learn from their mistakes to go from simply running experiments to actually deriving insights.
/presentations/ab-testing-pinterest/en/mediumimage/Andreabig.jpg)
-
Dev "Programming" Ops For DevOps Success
Damon Edwards explores the patterns observed at dozens of companies going through DevOps transformations, focusing on how devs can influence and lead the closing of the DevOps divide.
/presentations/devops-patterns/en/mediumimage/Damonbig.jpg)
-
Design Patterns for Large-Scale Real-Time Learning
Sean Owen provides examples of operational analytics projects, presenting a reference architecture and algorithm design choices for a successful implementation based on his experience Oryx/Cloudera.
/presentations/pattern-real-time-learning/en/mediumimage/Seanbig.jpg)
-
Revealing the Uncommonly Common with Elasticsearch
Mark Harwood shows how anomaly detection algorithms can spot card fraud, incorrectly tagged movies and the UK's most unexpected hotspot for weapon possession.
/presentations/elasticsearch-revealing-uncommonly-common/en/mediumimage/Markbig.jpg)
-
Instrumenting Your Business For Success with DevOps
Robert Benefield offers a pragmatic overview for discovering operational indicators that provide valuable insight in running and improving online services.
/presentations/business-success-devops/en/mediumimage/Robertbig.jpg)
-
Real Data Science at NASA
Chris Mattmann envisions data science by integrating science software into rapid data production systems using cloud computing and open source software.
/presentations/nasa-data-science/en/mediumimage/Chrisbig.jpg)
-
A/B Testing: Lessons Learned at Spotify
Danielle Jabin shares some of Spotify's key takeaways from their A/B testing efforts and the challenges they faced in building out their A/B testing infrastructure.
/presentations/ab-testing-spotify/en/mediumimage/Daniellebig.jpg)
-
Lambdas & Streams
Simon Ritter discusses the syntax and use of Lambda expressions, focusing on using Streams to greatly simplify the way bulk and aggregate operations are handled in Java.
/presentations/lambda-streams-java-8/en/mediumimage/Simonbig.jpg)
-
DevOps at a Small International Bank - Contiguous Improvement over Continuous Delivery
Ola Ellnestam shares lessons learned and DevOps practices along with the underlying values and principles used to implement continuous improvement and delivery at a large bank.
/presentations/devops-banking-ci-cd/en/mediumimage/Olabig.jpg)