We have been anticipating the intersection of big data with data discovery for quite some time. What exactly that will look like in the coming years is still up for debate, but we think Oracle's new Big Data Discovery application provides a window into what true discovery on Hadoop might entail.
If you had distill what we at Ranzal's Big Data Practice do down to its essence, it's to use technology to make accessing and managing your data more intuitive, more useful. Often this takes the form of data modeling and integration, data visualization or advice in picking the right technology for the problem at hand.
Sometimes, it's a lot simpler than that. Sometimes, it's just giving users a shortcut or an easy way to do more with the tools they have. Our latest offering, the PowerDrill for Oracle Endeca Information Discovery 3.1, is the quintessential example of this.
When dealing with large and diverse quantities of data, Oracle Endeca Studio is great for a lot of operations. It enables open text search, it has data visualization, it enriches data, it surfaces all in-context attributes for slicing and dicing and it helps you find answers both high-level, say "Sales by Region", and low, like "My best/worst performing product". But what about the middle ground?
For example, on our demo site, we have an application that allows users to explore publicly available data related to Parks and Recreation facilities in Chicago. I'm able to navigate through the data, filter by the types of facilities available (Pools, Basketball Courts, Mini Golf, etc.), see locations on a map, pretty basic exploration.
Now, let's say I'm looking for parks that fit a certain set of criteria. For example, let's say I'm looking to organize a 3-on-3 basketball tournament somewhere in the city. I can use my discovery application to very easily find parks that have at least 2 basketball courts.
This leaves me with 80 potential parks that might be a candidate for my tournament. But let's say I live in the suburbs and I'm not all that familiar with the different neighborhoods of Chicago. Wouldn't it be great to use other data sets to quickly explore the areas surrounding these parks quickly and easily? Enter the Power Drill.
Ok. Now it is time to showoff. Check out some of the secret sauce Ranzal brings to the solution around unstructured data and custom visualizations...
Check out how our customer's clinical researchers use the solution....
Interested to understand how cutting edge healthcare providers are turning to data discovery solutions to unlock the insights in their medical records? Check out this real-world demonstration of what a recent Ranzal customer is doing to unlock a 360 degree view of their clinical outcomes leveraging all of their EMR data -- both the structured and unstructured information.
A little midweek enjoyment, courtesy of our Advanced Visualization Framework. Below, you can see a county-by-county map of Utah and all of its Oil and Gas Fields.
We're long overdue for a "public service" post dedicated to sharing best practices around how Ranzal does certain things during one of our implementation cycles. Past installments have covered installation pitfalls, temporal analysis and the Endeca Extensions for Oracle EBS.
In this post, we're sharing our internal playbook (adapted from our internal Wiki) for deploying custom portlets (such as our Advanced Visualization Framework or our Smart Tagger) inside of an Oracle Endeca Studio instance on WebLogic.
The documentation is pretty light in this area so consider this our attempt to fill in the blanks for anyone looking to deploy their own portlets (or ours!) in a WebLogic environment. More after the jump...
Last week, we announced general availability of our Advanced Visualization Framework (AVF) for Oracle Endeca Information Discovery. We've received a lot of great feedback and we're excited to see what our customers and partners can create and discover in a matter of days. Because the AVF is a framework, we've already gotten some questions and wanted to address some uncertainty around "what's in the box". For example: Is it really that easy? What capabilities does it have? What are the out of the box visualizations I get with the framework?