Natalie has been an analyst and designer on multiple big data projects — some successful and some not. In this talk, she’ll take a trip down memory lane on some of the NOT-so-successful projects, exploring her past learning experiences and discussing what she’s found is needed to make big data projects successful — and things to avoid. We’ll discuss visionary goals, prioritization, architecture, build versus buy, and how to educate the rest of your team on big data concepts.
I’ve presented at several conferences recently and wanted to post my slides here in case anyone at the presentations wanted to see them.
If you attended one of the presentations, I’d love to hear what you thought — just comment here or email me!