May sum up at IDUG

By Javier Estrada Benavides posted Jun 03, 2019 07:24 AM


What have you missed during month of May?

The main topic of the month from the content committee was Data Science, Analytics and Machine Learning. By its size you can consider each topic as its own domain, so there will always be new things to share and look at. We began with an article by Javier Estrada Benavides on Feature Engineering.

After that, Sridhar Pratik shared with us a very interesting idea for exploiting Real Time Statistics data from Db2 for z/OS into Machine Learning to look at how we can obtain even more insight from the information Db2 is already generating for us.

Later, Rodolfo Custodio showed that Db2 Statistics and Accounting traces can be leveraged from Python and R for data visualization which can later be used for capacity planning, reporting, dashboard creation and more. He showed that a DBA should take on some of the traits of Data Analysts.

Finally, Ke Wei Wei and Guanjun Cai gave us an overview of how IBM Watson Machine Learning for z/OS can use to take advantage from the data inside your Mainframe or anywhere to create Machine Learning pipelines and even predict anomalies within Db2.


Premium Content

For the month of May, the following conference sessions from IDUG EMEA 2018 were posted to the IDUG Premium Content blog:

- “Improved HTAP Use Cases with BLU Acceleration Indexes” by John Hornibrook, IBM

- “Guilty Until Proven Innocent” by Bill Shipley, The Vanguard Group

- “The Times, They Are A Changin’ - NoSQL and NewSQL for a Db2 DBA” by Adam Storm, IBM

- “Encrypt or Die! How to Secure Db2 for z/OS DDF Traffic using SECPORT and AT-TLS” by James Gill, Triton Consulting

Session recordings from past conferences are posted weekly, but are accessible only to Premium Members.

For more information about Premium Membership, please visit this page.

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