Synthetic Data Generation | IBM
Synthetic Data Generation | IBM
Dec 6, 2024
ibm.com
Data Engineering Made Easy! Data Engineering finally makes sense when you see it as a complete data flow system, not just writing pipelines 🚀. It all starts with Data Sources 📥—records from databases, APIs, logs, and files. This raw data enters the system through Data Ingestion, either in batch mode or real-time streaming. Once ingested, data moves into Data Storage 🗄️ such as data lakes, lakehouses, or data warehouses. This is where raw data is stored, cleaned, and structured for future use.
0:10
Data Engineering Made Easy! Data Engineering finally makes sense when you see it as a complete data flow system, not just writing pipelines 🚀. It all starts with Data Sources 📥—records from databases, APIs, logs, and files. This raw data enters the system through Data Ingestion, either in batch mode or real-time streaming. Once ingested, data moves into Data Storage 🗄️ such as data lakes, lakehouses, or data warehouses. This is where raw data is stored, cleaned, and structured for future use.
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