🟢 DATA TRANSFORMATION
How to choose a Data Platform? 🤔
— 📈 Focus on the business needs
— 🛠 Name issues you currently face with
— 📋 Define a list of criteria to compare
— 🧪 Run series of PoC with the short-list
— ✅ Make a decision
— 🔄 Perform a transition
— 📊 Measure success
What to consider? List of criteria
— 🚀 Performance and Scalability
— 🛠 Feature support
— 🔒 Security
— 🛠 Maintenance and Administration
— 🔗 Integrations and Ecosystem
— 💰 Pricing model
I use dbt for Data Modeling and it rocks! 🎸
— 🔄 Modularity: reusable SQL queries
— 🗂 Version Control: integrates with Git
— ✅ Testing: built-in data quality tests
— 📄 Documentation: auto-generates model docs
— 📊 Data Lineage: tracks data flow
— ⏰ Scheduling: runs at specific intervals
— 🔗 Integration: works with Snowflake, BigQuery, Redshift, etc.
— 📝 SQL-based Transformations: accessible to SQL users
— 🌐 Environment Management: supports dev, staging, prod
— 🔌 Extensibility: extend with macros and plugins
🌐 @data_apps | Навигация по каналу
Post #416
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Artemiy Kozyr 🟢 DATA TRANSFORMATION
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