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Ideas and notes from dataxu’s technology team
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A/B testing (a.k.a. split-run testing) in Ad Tech— why, when & what?
A/B testing (a.k.a. split-run testing) in Ad Tech— why, when & what?
Why is A/B testing important?
Charith Peris
May 13, 2019
Predicted Ghost Ads: An accurate and cost-effective method for advertisers to measure…
Predicted Ghost Ads: An accurate and cost-effective method for advertisers to measure…
Incrementality testing measures the impact of advertising spend on the conversion rate of a test campaign. When measuring incrementality…
Charith Peris
Dec 6, 2018
Synchronizing Data Pipelines
Synchronizing Data Pipelines
Are you finding it hard to synchronize processes that read and write data on a data lake?
Javier Buquet
Jun 13, 2018
How to write a custom Spark Classifier: Categorical Naive Bayes
How to write a custom Spark Classifier: Categorical Naive Bayes
Last week, we took a look at a few reasons why you would want to write your own Spark Classifier/Estimator. And now that you’ve decided to…
Máximo Gurméndez
Apr 23, 2018
Why write your own Spark Classifier?
Why write your own Spark Classifier?
You may be asking yourself, why write your own Spark Classifier? The most obvious reason is to craft your own secret-sauce model outside of…
Máximo Gurméndez
Apr 16, 2018
Separation of metadata and data: Building a cloud native warehouse, Part 3
Separation of metadata and data: Building a cloud native warehouse, Part 3
This is part 3 of a series of blogs on dataxu’s efforts to build out a cloud-native data warehouse and our learnings in that process. You…
Dong Jiang
Mar 16, 2018
How we implement Singletons in Scala at dataxu
How we implement Singletons in Scala at dataxu
At dataxu, we have been using Scala for a while now, and in our journey we have perfected our best practices. Among these best practices…
Javier Buquet
Jan 15, 2018
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