Are you tasked with making organizational decisions that have placed you in a major dilemma? As a decision-maker in today’s fast-paced economy, you must wonder how you can cut costs, improve the bottom line, and still maintain the data quality necessary to make strategic decisions.
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.
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?
Coupling disparate data sets into meaningful "mashups" is a powerful way to test new hypotheses and ask new questions of your organization's data. However, more often than not, the most valuable data in your organization has already been transformed and warehoused by IT in order to support the analytics needed to run the business. Tools that neglect these IT-managed silos don't allow your organization to tell the most accurate story possible when pursuing their discovery initiatives. Data discovery should not focus only on the new varieties of data that exist outside your data warehouse. The value from social media data and machine generated data cannot be fully realized until it can be paired with the transactional data your organization already stockpiles.
Here's a look at how the powerful "compose-ability" and "configure-ability" capabilities of the Endeca product enable EBS administrators to quickly tailor the out-of-the-box Endeca pages for their organization's users.
In my first post in the series, I promised to return with more in-depth goodness about the Endeca extensions for EBS. The more I thought to write about new topics, the more I was inclined to show the offering first hand.
E-Business Suite is dating whom?
Through subtle release announcements and YouTube teasers, Oracle is slowly starting to broadcast its latest E-Business Suite offering to the market. With this new offering, officially called "E-Business Suite Endeca Applications", Oracle is making a push to address one of its users' most common complaints: its too difficult to access, understand and analyze information in E-Business Suite.
A fairly common approach...
More often than not, when pulling data from a database into OEID, we need to employ incremental updates. To introduce incremental updates, we need a way to identify which records have been added, updated or deleted since our last load. This change identification is commonly referred to as change data capture, or CDC. There is no one way to accomplish CDC and often the best approach is dictated by the mechanisms in place in the source system. Usually the database we're pulling from isn't leveraging any explicit change data capture (CDC) mechanism.
A growing trend in the BigData arena is for data to be offered as a service (DaaS). Gone are the days where data is bought and shipped on storage devices. Online data services are springing up all across the web offering subscription-based access to real-time data. New companies are sprouting up to monetize these developer-friendly, consumable services. Datasift, Infochimps, and Oracle's Collective Intellect are recent, concrete examples of this DaaS proliferation. The emerging best practice for these data services is for the data to be offered over HTTP with JSON responses. JSON, like XML, can offer schema-less, self-describing records which are suited for the new world of BigData's sparsely attributed information.