How Do You Implement SCD in DataStage? | DataStage SCD Training 💻 | SCD Implementation Tutorial 🚀

Описание: 🔥 Want to master Slowly Changing Dimensions (SCD) in DataStage? You're in the right place! In this video, I'll walk you through everything you need to know about implementing SCD, ensuring you're ready to apply it confidently. Let's dive in! 🏊‍♂️

1️⃣ Understanding SCD: What are Slowly Changing Dimensions (SCD)? 🤔
2️⃣ Types of SCD: Type 1, Type 2, Type 3 explained in detail 📊
3️⃣ DataStage SCD Stage Overview 🛠️
4️⃣ Configuring SCD Stage in DataStage - hands-on setup! 🎛️
5️⃣ Using Lookup & Reference Links for SCD processing 🔍
6️⃣ Handling SCD Type 1: Overwriting Attributes ✏️
7️⃣ Handling SCD Type 2: Adding Historical Rows 🕰️
8️⃣ Handling SCD Type 3: Maintaining Limited History 📜
9️⃣ Surrogate Keys in SCD Implementation 🔑
🔟 Sorting & Partitioning Input Data for optimal processing 📌
11️⃣ Performance Optimization in SCD Processing 🚀
12️⃣ Job Design for SCD Implementation in DataStage 🏗️
13️⃣ Error Handling & Logging - avoiding common pitfalls! ⚠️
14️⃣ SCD Implementation Best Practices in DataStage ✅
15️⃣ Conclusion & Summary - tying it all together 🎯

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