@ember_crooks |
Special Guest: Ember Crooks
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Show Host Scott Hayes Commentary
There is a PDF available, BUT YOU HAVE TO WATCH THE REPLAY! Over half of Ember's presentation was a live demonstration! Ember is truly a trail blazer who makes understanding, and working with, Db2 easier for all of us! I'm in awe of her creativity and helpfulness! After you watch what she's done with this Jupyter thing, you're going to want to try it out for yourself! Lots of helpful links provided below!
More shows Featuring Ember Crooks
Check out these replays of past shows:
- Episode #196: Db2 LUW Transaction Log Expedition
- Episode #194: Interviewing the Db2 LUW Optimizer ( Explains Explained in English! )
- Episode #164: 8 High-Impact Performance Tuning Tips for DB2 LUW
- Episode #133, Why Low Cardinality Indexes (STINK)
- Episode #143, HADR and TSAMP Advanced Topics
- Episode #66, Top 10 Tips for E-Commerce Databases
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Useful Links
Ember's presentation contains many helpful links! Some of the links in the PDF are broken, but, no worries, the links below are correct!- jupyter.org
- Anaconda (for Python): www.continuum.io/downloads
- http://landinghub.visualstudio.com/visual-cpp-build-tools
- https://github.com/ecrooks/db2_and_jupyter_notebooks
- Github for Db2 Extensions: https://github.com/DB2-Samples/db2jupyter
- Github of docker image including Db2 Client: https://github.com/ibmdbanalytics/dashdb_analytic_tools
- And, of course, Ember's Blog: http://db2commerce.com
Get the Download Replays
WMV Format - approximately 176MB
To download a recorded replay of Episode #202 in WMV format, right click on
the link below and choose "Save As..."
Episode #202, 2 February 2018,
Using Jupyter Notebook for Db2 Administration with Ember Crooks!
MP4 Format - standard resolution - 119MB
Have an iLife, iDevice, iPod, iPad, or iPhone? Right click and download the MP4 ( M4V ) format!
PDF Handout!
Ember generously agreed to share a PDF of her presentation with our Db2 community! Yay! The PDF makes good reference material, but do watch the video replay to see the power of Jupyter in action! Get the PDF!
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