InfoSphere DataStage provides a graphical framework for developing the jobs that move data from source systems to target systems. The transformed data can be delivered to data warehouses, data marts, and operational data stores, real-time web services and messaging systems, and other enterprise applications. InfoSphere DataStage supports extract, transform, and load (ETL) and extract, load, and transform (ELT) patterns. InfoSphere DataStage uses parallel processing and enterprise connectivity to provide a truly scalable platform.
Demonstration of Building and Running a DataStage ETL job with Data Lineage
7 minute demo
Basic demonstration of using DataStage Designer to create a new data transformation process that uses Excel as source and DB2 as target. It also demonstrates Information Governance Catalog data lineage viewer.
Enterprise Data Warehouse Offloading Demonstation Explained
7 minute demo
This video describes the Enterprise Data Warehouse offloading scenario used in the guided demo below on this page
Using DataStage to transform and synchronize cloud data repositories with on-premise transactional data
9 minute demo
This video demonstrates DataStage integrating with IBM Data Replication in order to update Cloud based data repositories and data lakes in real-time
Product Tour of IBM DataStage
Want to see for yourself? Take a short test drive of IBM DataStage to introduce you to the product. You'll be able to:
- See how to easily move data and existing Enterprise Data Warehouse workloads onto scalable, reliable, high-value Hadoop clusters without re-writing business and/or data transformation logic
- Use economical Hadoop clusters to run intensive ETL processing by integrating DataStage with Hadoop and the YARN resource manager
5-15 minutes introduction
Hands-on Lab for IBM DataStage
Ready to explore more? The following tutorials will give you a deeper dive into the capabilities of IBM DataStage.
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