The topics included:
- Big Data and the EA Perspective
- Lessons learned
- Big Data’s relationship with the Cloud
Below are the key insights that resonated with me.
Big Data and the EA Perspective
- Define what is useful data
- Institute a data life cycle through your governance practices
- Focus on what data is going to create business value
- Big data platforms were not built with data security in mind (example: Hadoop – access control mechanism not there.. Still needs third party controls)
- Not all data is created equally
- Once you classify, then you can do something with it
Big Data & Cloud
- Need to figure out information, service level agreements and risk analysis
- Sometime the risk analysis points to private cloud
- If you are thinking about moving big chunks of data around the enterprise, then cloud may not be an option. Figure out real-time data, Hadoop solutions, ETL or Data Warehousing.
Mobility & Development
- Developers are now developing for mobile first or at a minimum mobile compatible
- It is important to address security in the mobile tier. How important is to make data avail to mobile device
- In general, if consumers have access to it on their desktop, they will want it on their mobile
Value of Big Data
NASA is using Big Data in several small projects, mostly in the visualization realm.
Example: Write an app to use NASA data to allow a farmer to have an iOS app to determine what they should grow. The team that worked on it realize that great satellite data wasn’t enough. They decide to build the “mash-up” of data through other sources. The mash-up was vital to getting an accurate view.