In the latest of its Wednesday Webinars, MB Foster looks at the elements of Big Data as they relate to IT planning. Members of your community who are heading to other platforms have better reason to learn more about the concept, since their new systems are likely to need application interfaces to vast tracts of land from the world of data.
The webinar is free and starts at 2PM Eastern Time today. Registration for the interactive audio and PowerPoint presentation is at MB Foster's website.
As data specialists for operational, analytical and migration purposes and thought leaders on the topic of data, we want to accelerate users' understanding of new data-related topics and practices such as Big Data.
As an example of Big Data usage: In the TV show Criminal Minds, Penelope uses her analytical skills to combat crime. She dives into large and complex structured and unstructured data sets (records, mobile devices, video’s and cameras) to help the FBI team capture criminals in the nick of time.
In the webinar, CEO Birket Foster and his team will discuss.
- What is Big Data?
- How might you use it?
- What do you need to do to organize it?
The subject has potential for employment opportunity. One IBM analysis reveals that every day, we create 2.5 quintillion bytes of data and almost 90 percent of the total data in the world has been created just in the last two years. Within five years, the US could be at a 140,000-worker shortage for Big Data IT workers. The expertise is driven into four buckets of skillsets: Data scientist, data architect, data visualizer and data change agent.
According to a Computerworld roundup of the skills among those buckets, it seems that data architect -- the kind of expertise that Foster's software has enabled ever since the earliest days of its DataExpress -- falls closest to 3000-built experience.
Data architects: Programmers who are good at working with messy data, disparate types of data, undefined data and lots of ambiguity. They may be people with traditional programming or business intelligence backgrounds, and are often familiar with statistics programs. They need the creativity and persistence to be able to harness the data in new ways to create new insights.