Can I Take a Peek? Continuous Monitoring of A/B Tests
A/B testing is a hallmark of Internet services: from e-commerce sites to social networks to marketplaces, nearly all online services use randomized experiments as a mechanism to make better business decisions. Such tests are generally analyzed using classical frequentist statistical measures: p-values and confidence intervals.
Building an ETL Pipeline from Scratch in 30 Mins
This talk shows how to build an ETL pipeline using Google Cloud Dataflow/Apache Beam that ingests textual data into a BigQuery table. Google engineer Silviu Calinoiu gives a live coding demo and discusses concepts as he codes. You don't need any previous background with big data frameworks, although people familiar with Spark or Flink will see some similar concepts. Because of the way the framework operates the same code can be used to scale from GB files to TB files easily.
TensorFlow Talks, Scikit-Learn Workshop and more at DataEngConf SF!
We just posted the final schedule for DataEngConf San Francisco, April 7-8, 2016 and added even more great talks & workshops.