Tue 7 Aug 2018
If it isn't preserved, it is lost
Fri 27 Jul 2018
ROI of Data slides from CollabSphere
Thu 14 Jun 2018
CKEditor #6 - Sharing a toolbar between rich text fields
Presenting at Collabsphere 2018 - hope to see you there
Tue 12 Jun 2018, 02:59 PMTweet
by Ben Langhinrichs
I am presenting a session at Collabsphere 2018, the successor to the well-respected MWLUG conference which has grown more and more vital over the past few years. If you are in the U.S. or Canada and haven't been able to get over to Engage or other overseas conferences, don't miss this. As an IBM Champion this year, I have had to look around and see which conferences might make sense, and this was an easy choice. Supported by IBM enough to get the inside information, but independent enough to hear more than IBM marketing, this is a conference worth the cost. Not that it costs much. A great hotel rate, negligible entry fee, and a reasonably priced city all make this an easy sell to your company, especially with the critical changes coming to Notes/Domino and the rest.
As for my session, the details are below. I promise it will be a good session, but I also promise you are likely to get even better information by hanging out with me at lunch or chatting in the halls. That is where some of the best discussions happen, and where a lot of the positive changes you'll see in Notes/Domino 10 were bandied about in previous years.
The ROI of Data - Building on your company's existing investment
Often neglected in the quest for better, faster, easier applications is the invested value in the data, both new and old, that makes your applications more than demoware. Whether converting a Notes client application to a MEAN stack mobile app, or taking an existing Domino web app and building new connections and features, or building reports on a collection of data created and stored by a mixture of applications, there are techniques and methods to get more bang for your buck.
In this session, we will discuss the kinds of data available, not all of it obvious, techniques for normalizing the data for analytics without losing the strengths of NoSQL, and how to unbundle and use data stored in rich text, MIME, attachments and more.
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