1. Enterprise Data Modelling Dr Jing LU 2015-16 Enterprise Data Modelling (EDM) Unit Code: SWD603

2. Level 6 Enterprise Data Modelling Level 6 Enterprise Data Modelling Level 5 Enterprise Database Development Level 5 Enterprise Database Development Level 4 Introduction to Databases Level 4 Introduction to Databases Unit Progression in Databases

3. “Everyday, we create 2.5 quintillion bytes of data …data 90% of ALL the data in the world today has been created in the last 2 years alone” (IBM 2013) Why do more databases?

4. Enterprise Data Modelling 2 3 4 1 Blocks Steps Parts Report 5 Weeks

5. Five Weeks  The unit is comprised primarily of four ~5-week blocks of study  The four blocks of study are followed by your own research, application and evaluation of a chosen advanced topic that extends from the blocks

6. Four Blocks Data Mining &KDD Data Warehousing XML / NoSQL Databases Distributed Databases Enterprise Data Modelling

7. Three Steps Before Follow the “Resources” in myCourse and do the initial guided reading During Work on the practice activities during the classroom sessions in the labs After Proceed to the assessed activities after you have completed the practice activities

8. Two Parts Practice Theory Data Mining Data Warehousing XML DB & NoSQL DB Distributed Databases iSQLPlus Oracle APEX SQL Developer Weka

10. Student Survey Results (July 2015) where “1” is Strongly Disagree and “5” is Strongly Agree

11. Best Features of the Unit  Good unit structure and clear approach  Workload spread out evenly across four blocks  Regular feedback and resubmission of draft work  Wide range of topics and tools (e.g. data mining, NoSQL, Big data, data warehousing and OLAP)  Practical activities help work for assessments  Presentations at beginning of each session  Tutor support during class  Guest lectures