Issue IV
IBM Announces Db2 13 for z/OS on the 5th of April
IBM announced the general availability of Db2 13 and Db2 AI for z/OS. Db2 13 for z/OS (Db2 13) delivers leading-edge AI innovations and enhancements, reinforcing it as the foundation for enterprise computing within the hybrid cloud and digital world - and a key component within an enterprise’s data fabric.
 
IBM Db2 delivers significant innovations and capabilities: 
  • Industry-first integrated approach with Db2 SQL Data Insights to discover hidden insights within Db2 applications
  • Enhanced resiliency, efficiency, and application stability for unparalleled availability
  • Synergy with IBM z16 for enhanced efficiency and differentiating business value
  • Simplified database management and upgrades to help accelerate feature adoption and time to value

To learn more register for the Db2 13 for z/OS Launch Webcast
Date: 6th April
Time: 11 AM - 12:30 PM EDT


President's Letter

IDUG President Iqbal Goralwalla shares an exciting snapshot of IDUG in 2022, including opportunities for you to bolster your career development and enhance your effective utilization of Db2 in 2022.
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Advanced Badges
IBM has released new Advanced Db2 11.5 Proctored Badges! In addition to the Foundations Badge and an Administration Badge for Db2 11.5 you can now earn the following:
If anyone has any questions about these new badges, please contact Les King at lking@ca.ibm.com.
Important Reminder - End of Support for Db2 V11.1
IBM is releasing Db2 V11.1.4.7 - the last official fixpak for Db2 V11.1. Please note that End of Support (EOS) for Db2 V11.1 comes up on April 30, 2022. At this time, the shift into Service Extensions for Db2 V11.1 will begin and continue to run until April 30, 2025. The option to continue to receive support for Db2 V11.1 is available through the purchase of a Service Extension contract which can be obtained by contacting your sales person.
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In this video you'll be shown (with examples) how to use the built-in stored procedures to solve different types of problems and how to create, debug, and run your own Python functions. This will include taking models built in Jupyter Notebooks (and other applications) and embedding them in a Db2 Python function. Other approaches like using REST API calls within a Python function to do scoring against a remotely-hosted model will be discussed.
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