Data Integration

2020 has been a year like no other.  As this year draws to a close, one constant that has stayed the same is IBM's commitment to our customers and helping them innovate their business models for these times.  For more than 20 years, IBM has been a leader in data integration. Such a long history of leadership is only achievable through constant innovation and by evolving the solution to support new or changing requirements.

Through this user community, we have delivered several webcasts this year, for a deeper dive on these innovation in the case of DataStage for IBM Cloud Pak for Data for AI-powered data delivery, anywhere across hybrid or multi cloud environments.

Here is a list of the best performing webcasts we did this year, now available on-demand. We'd love for you to provide your feedback and post your questions in this discussion thread below.

• Webinar series on Data Virtualization, Data Quality and Data Warehousing capabilities within DataStage
• How can you do more with less through containerized ETL
• IBM QualityStage with Address Verification and Geocoding: Create rich location data quality to fuel critical business functions
• Ask me anything: IBM DataStage and Data Integration
• Cloud Pak for Data migration best practices: IBM DataStage
• Tech Talk: Configuring checkpoints for IBM DataStage on IBM Cloud Pak for Data
• Modernizing the Enterprise: Accelerate AI initiatives with modern DataOps

Analyst Webinars-

• TDWI Webinar- Integrating & Governing Cloud Data: Five Steps to Reduce Costs, Increase Scale, and Add Flexibility

• Modernizing the Enterprise Webinar series with Bloor Research

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Bharath Chari
WW Lead Portfolio Product Marketing manager, IBM DataStage and Data Integration,
Email: bharath.chari@ibm.com
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