Introduction to IBM DataStage (Beginner Level)

 

IBM DataStage is one of the most powerful ETL tools used across industries like banking, healthcare, retail, telecom, and insurance. In this article, you will learn the basics of ETL, what DataStage is, how it works, and real-time examples from projects.

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🔹 What is ETL?

ETL stands for Extract, Transform, Load — a process used to move data from various sources into a target system such as a data warehouse, database, or reporting system.

✔️ Extract

• Read data from multiple source systems
  (Databases, files, APIs, cloud, XML, JSON)

✔️ Transform

• Apply business rules

• Clean the data (remove duplicates, nulls)

• Apply lookups, joins, calculations, validations

✔️ Load

• Load processed data into target tables or files

• Used for analytics, reporting, dashboards.

Why ETL is important?

• Makes data accurate

• Removes inconsistencies

• Helps businesses make better decisions using clean data.