Tonight, Eric and I will be presenting back-to-back talks at the AWS Michigan meetup (hosted by the Tech Brewery this time). Eric will be detailing a large Matlab HPC experiment we ran this summer to optimize parameters for a trading strategy; this one is a great AWS case study, as we crunch 10B inputs with 6.2 teraflops on 1408 cores and 1TB of RAM for $200.
I’ll be covering legal informatics on AWS, giving the first AWS Michigan talk on CloudSearch. If you’ve been reading this blog, you’ve got an idea where the talk is headed (#1, #2, #3). However, I’ve tried to provide more structure, detail, and comparison in the talk than has made it onto the blog, so I would definitely recommend taking a look. You’ll get a solr vs. CloudSearch implementation comparison and code to take you from scratch to searching. Here’s the high-level outline:
- Generalize information retrieval more than you’re used to.
- Build a basic case search engine with solr/EC2.
- Build a basic case search engine with CloudSearch.
- Understand the relative strengths of solr and CloudSearch.
- Discuss other legal services that CloudSearch can augment.
I’ve also uploaded the talk to SlideShare, so you can read it here or download for your offline viewing pleasure.