I recently had the opportunity to deliver my presentation Force.com Data Modeling: The Advantages of Denormalization to a sold out room at Dreamforce ’13. Based on the enthusiastic response and the feedback we received following the presentation about the lack of resources available on Salesforce Platform data modeling, I wanted to post highlights from the session here to give the community a starting point when thinking about designing a Salesforce data model. The session was inspired by a post entitled Force.com Data Modeling – Normalization is Not Your Friend that we published on this blog in 2010.
Posts tagged ‘CRM’
By most accounts, 2009 was a bad year. For some, an awful year. But for cloud computing, 2009 will be looked back on as the year the movement reached the tipping point. I don’t necessarily want to run through a year-end wrap-up, but I do want to take some lessons learned from 2009 and apply them to what I believe we’ll see in the year ahead.
The Question Without an Answer
What exactly is “Cloud Computing?” The term will probably never be fully fleshed out in terms of a common definition, and at the end of the day that’s fine with me. Yes, we need to put structure around the term and the industry, but as we noted earlier in the year with a post about cloud maturity models, we run the risk of painting ourselves into a corner if we try too hard to make things fit neatly into buckets that we can easily classify and categorize. Taxonomy will be key to understanding and adopting cloud computing, but I’ve become convinced that in order to truly embrace the cloud, we must…