Why normalize databases?
Yesterday, my tutoring student asked me why databases need to be normalized at all. She said: “Wouldn’t it be easier to just have one big table with all the information?”
It’s a common first question when learning about relational databases.
At first, one big table (e.g. customer name, order date, product name, price) seems easiest.
I told her: Because that quickly leads to data redundancy, anomalies, and integrity issues when inserting, updating, or deleting records.
Normalization means structuring data into separate, related tables, so that each fact is stored only once. This reduces redundancy & preserves consistency.
If it helps the poll get traction with the nerds who follow me, I’ll create some graphs from this data and post an analysis of the data!
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Data Cleaning in Power BI | Power Query | ETL | Complete Tutorial 2023 | For Beginners | #powerbi
datacleaning #powerbi #dataanalyst Data Cleaning in Power BI | Power Query | ETL | Complete Tutorial 2023 | For Beginners ... source
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Databricks offeriert kostenlose Version und investiert rund 100 Millionen Dollar in die nächsten Generation von Daten- und KI-Talenten
#AIAgent #AIEngineers #DataAnalyst #DataIntelligence #DataScientist @Databricks #künstlicheIntelligenz
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The data field has a serious naming problem – titles rarely match reality, and it's creating confusion for both companies and careers. If you work with data, I'm curious: does this disconnect resonate with your experience too?
New blogpost:
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та багато іншого https://github.com/bootdotdev/curriculum
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I'm curious, is the recent decline in Fediverse users and activity due to people moving to BlueSky? What other factors might there be?
I'm sure there are ebbs and flows over time. But I do hope the overall trend continues to be upward.
Wie AI-Agent-Systems die Art und Weise der Geschäftsabwicklung verändern
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Difference b/w Data Analyst and POWER BI Developer #dataanalyst #powerbi #dataanalytics
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