Data Cleansing View in Snowflake

For part of one of my free ETLs I am using Zapps to transfer e-mails from Google Sheets and then Keboola to transfer the sheets into my Snowflake database. I am familiar with string searches and cleansing in Oracle and using python but have not had the chance to do this in Snowflake. I wanted to give it a go as a proof of concept if nothing else. There were some difference in functions between Oracle and Snowflake, no INSTR and using POSITION instead and some difference in working with dates / timestamps but overall it was very similar.

The code below is what I ended up using:

I think want to use this to create some overview graphics to allow me to track the success or failure of my ETLs. Assuming the aspects of Retool remain free you can see how much ETL is going on this link.

In case things aren't working, here is a table of the output I am producing.

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So recently parkrun removed all their stats and as a keen running who is trying to work their way up the top 100 of their local parkrun I wanted to get some of these stats back and have a bit of "fun" at the same time. So here is a little "ETL" process that I developed with the help of Gen AI. The steps of my ETL: Copy and paste data into Google Sheets template where an AI produced formula extracts URLS from the text and puts them into a new field. This effectively allows me to extract the parkrun athlete id, the primary key, and use it in my analysis. I also have a column to autofill the data I am processing. Use an Gen AI generated Google Apps script to process it into a processed sheet, this allows me to build up a backlog of events (I had over 500 to process). This is then queried using a Gen AI Google sheets query to extract key information and columns / format times etc. I then ingest the fully processed sheet into Keboola directly from Google Sheets. ...

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Zapier

As much as I have enjoyed using Keboola there are some connections that it doesn't have or that just haven't worked for one reason or another. I actually came across Zapier as a solution for bringing in e-mails from parkrun to load my results every week. Honestly I have not found it to be as robust as Keboola but that might just be me archiving my e-mails before it completes it 15 minute poll. The second use case I am working on is the pulling in Strava data, for a fitness dashboard the fact it has a built in connector for Strava is great, though I am worried given the activities I do that I might reach the limit. I won't go into details on how to set things up but you can setup 5 Zaps that can run for a combined 100 runs during a month for free. In my data platform / solution I am using Zaps to load harder to get / automate data. It doesn't add much from a technical point of view as it is just signing into a few account to get the data into Google Sheets for downstr...

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