1. Chapter 1 Course Orientation

2. Outline Definition of data source management Definition of data source management Importance data source management to organization Importance data source management to organization Components in data resource management Components in data resource management Issues of current enterprise data resource management: Issues of current enterprise data resource management: Activities of enterprise data management Activities of enterprise data management Knowledge and skills needed in data source management Knowledge and skills needed in data source management Topics should be covered Topics should be covered Position of this course Position of this course Oracle tools introduction Oracle tools introduction

3. Definition of Data Source Management Aligning business objectives and technology Aligning business objectives and technology Enterprise Data Management Focus on business objectives, not for Enterprise Data Management Focus on business objectives, not for New technology New technology Silver bullet Silver bullet Definition: Definition: handle data storing and retrieving, handle data storing and retrieving, harness the power of data to comply with regulators harness the power of data to comply with regulators offer new products offer new products increase transaction volumes increase transaction volumes enhance customer service at a lower cost. enhance customer service at a lower cost.

4. Importance Data Source Management to Organization Applications drive the business: Applications drive the business: Customer Relationship Management (build customer loyalty through communication, sales, and services) Customer Relationship Management (build customer loyalty through communication, sales, and services) Enterprise Resource Planning (Integrate and automate all facets of your business operations) Enterprise Resource Planning (Integrate and automate all facets of your business operations) Business Intelligence Business Intelligence Custom and packaged applications (automate and execute key business processes) Custom and packaged applications (automate and execute key business processes)

5. Components in Data Resource Management Business value Business value Increasing productivity Increasing productivity Improving customer services Improving customer services Facilitating decision making (Decision support system, OLAP, data mining and warehousing) Facilitating decision making (Decision support system, OLAP, data mining and warehousing) Information Governance Information Governance Protecting confidential customer information (Data Privacy) Protecting confidential customer information (Data Privacy) Safeguarding information security Safeguarding information security Supporting regulatory compliance initiatives (Retention and compliance) Supporting regulatory compliance initiatives (Retention and compliance) Simplification of infrastructure --Reduce risk and control costs by Simplification of infrastructure --Reduce risk and control costs by Managing ongoing data growth Managing ongoing data growth Storing and managing data according to its evolving business value Storing and managing data according to its evolving business value Rationalizing your infrastructure to eliminate redundancies and reclaim valuable capacity Rationalizing your infrastructure to eliminate redundancies and reclaim valuable capacity Business continuity Business continuity Data system backup and emergency recovery Data system backup and emergency recovery

6. Issues of current enterprise data resource management Convergence of structured and unstructured data management software tools into more flexible, service- oriented environments. Convergence of structured and unstructured data management software tools into more flexible, service- oriented environments. Consolidation of business intelligence (BI), enterprise content management, and business process management vendors as demand for end-to-end data and process management becomes ubiquitous (device monitoring, control, and data acquisition) Consolidation of business intelligence (BI), enterprise content management, and business process management vendors as demand for end-to-end data and process management becomes ubiquitous (device monitoring, control, and data acquisition) Impact of business merger and acquisition activity on enterprise data management Impact of business merger and acquisition activity on enterprise data management Impact of software vendors consolidate Impact of software vendors consolidate Mobility and real time Mobility and real time

7. Activities of enterprise data management data modeling data modeling data integration data integration data quality data quality data warehouse data warehouse data stewardship (data element) and metadata management data stewardship (data element) and metadata management data monitoring data monitoring backup and recovery backup and recovery new application development. new application development.

8. Knowledge and skills needed in enterprise data resource management Understand the advanced database concepts Understand the advanced database concepts Know how to write advanced PL/SQL programming blocks Know how to write advanced PL/SQL programming blocks Know how to use PL/SQL in applications Know how to use PL/SQL in applications Know how to administer a database Know how to administer a database Understand concurrency control, security and transaction management. Understand concurrency control, security and transaction management. Understand data mining and know how to use Oracle Data Miner Understand data mining and know how to use Oracle Data Miner Understand data warehouses and know how to create components such as dimensions and cubes. Understand data warehouses and know how to create components such as dimensions and cubes. Know how to created data-oriented web applications using APEX Know how to created data-oriented web applications using APEX

9. Ch 2 Objects (Views Synonyms Sequences Index ) Ch 3 PL/SQL blocks Ch 4 Procedures Triggers Ch 5 Enhanced SQL programming Ch 1 Introduction Advanced SQL Ch 11 Multimedia Data Ch 12 Transaction Mgt Advanced DB Concepts Chapter Structure Ch 8 OEM DB structure Ch 9 DB security Ch 10 Backup Recovery DB Admin. Ch 6 PL/SQL, ADO.net in MS Visual Studio.NET Ch 7 Oracle Application Express Ch 13 Data mining Ch 14 Data Warehousing New Application Trend

10. Course Positions The Currentness of Technology The Currentness of Technology The pragmatic of the course The pragmatic of the course The difficulty of the course The difficulty of the course New Pragmatical Easy Difficult Theoretical Obsolete

11. Getting Start with Oracle Start and Stop Oracle Database Control Understand Enterprise Manager Set Preferred Credentials Unlock Scott user account Use SQL*Plus to create a table Use SQL Developer Using Data Modeler in SQL Developer