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فيديو شرح 2.6 Big Data Introduction Big Data Applications - A/B Testing ضمن كورس Apache Hadoop شرح قناة CloudxLab Official، الفديو رقم 7 مجانى معتمد اونلاين
A/B Testing is a process used in testing drugs to identify if a drug is effective or not.
A similar process is used to identify if a particular feature is effective or not. As you can see in the diagram, randomly selected half of the users are shown variation A and other half is shown variation B. We can clearly see that variation A is very effective because it is giving double conversions. This method is effective only if we have a significant amount of users. Also, the ratio of the users need not be 50-50.
So, A/B testing utilizes the data in product development. At Amazon, we have many such experiments running all the time. Every feature is launched via A/B testing. It is first shown to say 1 percent of users and if it is performing good, we increase the percentages.
To manage so many variations on such a high number of users, we generally need Big Data platforms.
This Big Data Tutorial will help you learn HDFS, ZooKeeper, Hive, HBase, NoSQL, Oozie, Flume, Sqoop, Spark, Spark RDD, Spark Streaming, Kafka, SparkR, SparkSQL, MLlib, and GraphX from scratch. Everything in this course is explained with the relevant example thus you will actually know how to implement the topics that you will learn in this course.
Let us know in the comments below if you find it helpful.
In order to claim the certificate from E&ICT Academy, IIT Roorkee, visit https://bit.ly/cxlyoutube
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