Two Decades Later, the Enduring Legacy of 9/11

E7

Two Decades Later, the Enduring Legacy of 9/11

Why do we use it?

Sometimes we want to generate fake events to test our pipelines and dashboards. Random events don’t do the job. That’s why I built this Python package.

You want to implement a new streaming pipeline on your workplace and need to show your managers a Proof Of Concept. This POC should allow you to demonstrate some of the functionalities, in this case, generate real-time metrics. However, there is a limitation: you can’t use production data on a POC. How do you solve that?

If your answer was to generate fake events, then you are right. It will probably be the best solution. Then you create some random events and push then to the pipeline. You’ll soon realize that random is not the same as fake. You certainly don’t want to show a chart like this to your managers:

Where can I get some?

Now let’s say you want to build your portfolio for an Analytics Engineer position. You possibly need to show that you are capable of creating web sessions, measuring conversion rate and splitting metrics by campaign or source. How do you build your damn portfolio if you don’t have data? And again, generating random data won’t allow you to measure anything.

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Where does it come from?

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If you are going to use a passage of Lorem Ipsum, you need to be sure there isn’t anything embarrassing hidden in the middle of text. All the Lorem Ipsum generators on the Internet tend to repeat predefined chunks as necessary, making this the first true generator on the Internet. It uses a dictionary of over 200 Latin words,