As I mentioned on Monday, I'll be starting a series of posts on Oracle Transportation Management (OTM) in the cloud. In the first stage of these posts, I'll be covering the set of feasible architectures given the infrastructure offerings at Amazon Web Services. And, as you might expect, we'll be starting with the simplest
I wanted to update readers to let them know of an upcoming post series on Oracle Transportation Management (OTM) in the cloud. Oracle Transportation Management is a powerful solution for businesses or 3PLs that need to take control of their supply chain planning and execution. While many organizations continue to run OTM in a
The NATO summit is currently being held in Chicago, and, as is typical for NATO or G# summits, the streets and tweets are full of dissent. In the spirit of my past investigations of online dissent (#jan25, #25bahman, #12fev, #wiunion, #cn220, #march15), I thought I would investigate the #nonato tag, where Twitter users around
Let's say you've used my Python script to automate the download of a hashtag or search phrase from Twitter (in a Unicode safe way, unlike within R). Now let's say you want to visualize the number of tweets over time. Easy enough - I've also shared this R/ggplot2 code that accomplishes the task. However, let's say
You may have noticed that I keep talking about eDiscovery consulting and legal search in the cloud. I've covered searching the Supreme Court with new technologies in analytics and the cloud, making certain types of emails searchable on Amazon's cloud, and even eDiscovery and the cloud at a high level. While these posts are
After six years of static HTML, it finally became apparent that this site needed a real CMS. Please excuse the construction while we settle in to our new home.
In my last post on CloudSearch and eDiscovery, I described something like “Google” for eDiscovery emails. FedEx or DropBox your data to an eDiscovery service provider like myself, and rest assured that you’ll soon have a powerful, web-based user interface for searching and visualizing your digital discovery materials. As a technical follow-up to
In the last post on AWS CloudSearch, I provided a tutorial on the creation of a simple CloudSearch domain for Supreme Court decisions. This walkthrough described the steps of creating a domain, configuring access policies and indexing, populating the index, and using the search API. We were left with a functioning case search database.
It should be pretty clear by now that two things I'm very interested in are cloud computing and legal informatics. What better way to show it than to put together a simple AWS CloudSearch tutorial using Supreme Court decisions as the context? The steps below should take you through creating a fully functional search
Here's a fun example of how you might use my data on Congressional bill length and complexity. Imagine you want to understand the empirical distribution of Flesch-Kincaid reading level for Congressional bills and how this distribution is related to bill stage. A first step might be to visualize this relationship. Based on this
