See how DataStage for IBM Cloud Pak for Data delivers elastic scaling that automatically distributes workloads.
Join us to learn how to start building a trusted data foundation for your AI implementations with DataStage and watsonx.data
Learn how to perform ETL operations on data stored in IBM Netezza® Performance Server.
Learn how to use IBM Db2 native connectivity in DataStage as a service.
Learn about the tasks involved with creating parallel jobs.
Read how workload balancing executes up to 30% faster with DataStage for IBM Cloud Pak for Data.
Explore the benefits of using containers for your data integration tool and of deploying DataStage for IBM Cloud Pak for Data.
See the top 5 reasons you should modernize your data integration on IBM Cloud Pak for Data.
Learn why data integration is critical to your AI strategy.
See how the product works with existing DataStage jobs and how to manage and create new jobs.
Learn the basics of building and running DataStage ETL jobs and how to track the flow of data lineage.
See how to update cloud-based data repositories and data lakes in real time.
Learn about offloading your enterprise data warehouse (EDW) to a data lake.
Explore the machine learning features of DataStage Flow Designer.
Learn how DataOps can help organizations deliver value through a business-ready data pipeline.
Discover how a governed data lake can deliver business insights with trusted data.
See how DataStage cuts costs of EDWs by offloading certain data and ETL processing into Hadoop clusters.
See answers to common questions about modernizing DataStage on IBM Cloud Pak for Data.