
Data/Analytics Engineer 📊 #SQL #data #analytics #BigQuery #GoogleAnalytics
Joined January 2009
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One of the first things I like to do with new hires is show them our global asset lineage in Dagster (the master DAG). It looks something like this
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Ok proud work moment, we are #1 on the App Store right now!
I modelled all the tracking/telemetry data, integrating it with existing web analytics pipelines so we have one stop shop datasets for all our web/app sessions and conversion funnels
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DuckLake is cool. Next question, how do we scale the local querying?
Let my iPhone 15, laptop and desktop scale out a query on 1TB of data
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Everyone else: LLMs are amazing, they are going to automate you out of a job
Me to LLM: Return BigQuery SQL that does a thing
LLM: Here is Redshift SQL
Me: ???
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Snowflake releasing semantic views, meaning you can semantic/metric layer directly in your cloud DW: docs.snowflake.com/en/user-g…
I'm here for it, but I don't see docs yet on how you would consume from the semantic view. Maybe like
select conversion_rate() from semantic_view?
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Tech debt is good actually *
Good if your middleware SQL logic enables business to know WTF was going on thru 3 site migrations and web analytics platforms
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Anyone here used Looker (as a semantic/metrics layer) and Tableau together? How is the native Looker to Tableau connector?
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BigQuery just released UNION ALL BY NAME
It solves the issue of perfectly aligning each field properly in SQL. As long as the fields have the same name you're good!
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Another analytics engineering (AE) LinkedIn bash post.
Hard to not react (my current job) but having an AE title does not assume you will build a spaghetti data architecture.
There are tons of data engineers who create perfectly optimized data models that are used by no one.
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Pro tip: mention “vanity metrics” once in a meeting and people will think you’re a freaking analytics mastermind 😮
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It turns out taking your job a lot less seriously is good for your mental health. Who would have thought?
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I thought BigQuery was pretty cool but then I learned about Databricks Delta Live Tables and Snowflake Dynamic Tables…
Why we out here writing manual incremental strategies in dataform and dbt, just let the engine figure it out (didn’t realize streaming could be that easy)








