Code works, but how? 😅
#programming #python #coding #data
#programming #python #coding #data
Claim a handpicked Notion library with the 35 best Post Templates from the 7 best LinkedIn Influencers
Claim 35 Post Templates from the 7 best LinkedIn Influencers
Gina Acosta Gutiérrez
These are the best posts from Gina Acosta Gutiérrez.
4 viral posts with 8,728 likes, 229 comments, and 1,151 shares.
2 image posts, 1 carousel posts, 1 video posts, 0 text posts.
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Best Posts by Gina Acosta Gutiérrez on LinkedIn
⚙ ETL vs ELT: Key Architectural Differences 👨💻
ELT and ETL are two different approaches to data integration. Understanding the key differences allows you to choose the best approach aligned with your infrastructure and data processing needs.
📌 𝗘𝗧𝗟:
• Sequential extraction, transformation, and loading.
• Well-suited for traditional on-premises data warehousing.
• Centralized control over data quality but may face delays.
📌 𝗘𝗟𝗧:
• Extract and load raw data first, then transform.
• Enables faster loading in cloud-native platforms.
• Leverages target system processing power.
👉 Choosing the right Data Integration approach:
• Consider your infrastructure: ELT for cloud-native environments, ETL for on-premises data warehouses.
• Consider transformation complexity: ETL for intricate transformations, ELT when processing power is readily available.
• Consider processing needs: ETL is often batch-oriented, ELT supports real-time for immediate insights.
➡ Join my newsletter, sign up at www.joinhorizon.ai 💫 today and get the latest AI news, tools, tutorials and guides on using popular AI tools delivered right to your inbox!
#python #data #machinelearning #ai #artificialintelligence #datascience #analytics #technology #programming #coding #tech
ELT and ETL are two different approaches to data integration. Understanding the key differences allows you to choose the best approach aligned with your infrastructure and data processing needs.
📌 𝗘𝗧𝗟:
• Sequential extraction, transformation, and loading.
• Well-suited for traditional on-premises data warehousing.
• Centralized control over data quality but may face delays.
📌 𝗘𝗟𝗧:
• Extract and load raw data first, then transform.
• Enables faster loading in cloud-native platforms.
• Leverages target system processing power.
👉 Choosing the right Data Integration approach:
• Consider your infrastructure: ELT for cloud-native environments, ETL for on-premises data warehouses.
• Consider transformation complexity: ETL for intricate transformations, ELT when processing power is readily available.
• Consider processing needs: ETL is often batch-oriented, ELT supports real-time for immediate insights.
➡ Join my newsletter, sign up at www.joinhorizon.ai 💫 today and get the latest AI news, tools, tutorials and guides on using popular AI tools delivered right to your inbox!
#python #data #machinelearning #ai #artificialintelligence #datascience #analytics #technology #programming #coding #tech
🚀 FREE Python Cheat Sheet 🐍
Python is a high-level, general-purpose and a very popular programming language.
🧐 Some facts about Python Programming Language:
• Python is currently the most widely used multi-purpose, high-level programming language.
• Python allows programming in Object-Oriented and Procedural paradigms.
• It is used by almost all tech-giant companies like Google, Amazon, Facebook, Instagram, Dropbox, Uber… etc.
• The biggest strength of Python is its vast collection of standard libraries.
👉 Here's a guide to learn Python
What you will learn:
🎯 Keywords
🎯 Basic Data Types
🎯 Complex Data Types
🎯 Classes
🎯 Functions and Tricks
🎯 14 Interview Questions
🎯 NumPy
🎯 Object Orientation Terms
... and more
Credits: Finxter
#python #data #datascience #dataengineering #dataanalysis #analytics #machinelearning #ai #artificialintelligence #programming
Python is a high-level, general-purpose and a very popular programming language.
🧐 Some facts about Python Programming Language:
• Python is currently the most widely used multi-purpose, high-level programming language.
• Python allows programming in Object-Oriented and Procedural paradigms.
• It is used by almost all tech-giant companies like Google, Amazon, Facebook, Instagram, Dropbox, Uber… etc.
• The biggest strength of Python is its vast collection of standard libraries.
👉 Here's a guide to learn Python
What you will learn:
🎯 Keywords
🎯 Basic Data Types
🎯 Complex Data Types
🎯 Classes
🎯 Functions and Tricks
🎯 14 Interview Questions
🎯 NumPy
🎯 Object Orientation Terms
... and more
Credits: Finxter
#python #data #datascience #dataengineering #dataanalysis #analytics #machinelearning #ai #artificialintelligence #programming
