1. Hadoop is a platform that enables business to: Process Big Data at reasonable costs Provides fault tolerance (continue operating in the event of failure) Enables massive parallel processing (MPP) Runs on commodity infrastructure – Cheap to run Available under the GNU GPL (General Public License) – Free to use. Business value

2. Fear of the unknown Lack of skillset Lack of understanding of ROI Open Source (potential security risk) Challenges of adoption

3. Exploratory Phase: - Recognizing responsibilities associated with deploying Hadoop. - Determining key issues and requirements around privacy. - Hadoop integration into existing IT infrastructure. Ongoing Governance

4. Implementation Phase: Determining business needs Organization Structure Stewardship Data Risk and Quality Management Information Life Cycle Management Security & Privacy Data Architecture Ongoing Governance (Cnt’d)