OHLONE COLLEGE Ohlone Community College District OFFICIAL COURSE OUTLINE

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1 OHLONE COLLEGE Ohlone Community College District OFFICIAL COURSE OUTLINE I. Description of Course: 1. Department/Course: CNET - 168C 2. Title: Implementing a Data Warehouse with Microsoft SQL Server 3. Cross Reference: 4. Units: 2 Lec Hrs: 1.5 Lab Hrs: 1.5 Tot Hrs: Repeatability: No 6. Grade Options: Letter Grade, May Petition for Pass/No Pass (GC) Degree/Applicability: Credit, Degree Applicable, Transferable - CSU (T) 8. General Education: 9. Field Trips: Not Required 10. Requisites: Catalog Description: Data warehousing is a solution organizations use to centralize business data for reporting and analysis. Students in this course will learn how to create a data warehouse with SQL Server 2012, implement ETL with SQL Server Integration Services, and validate and cleanse data with SQL Server Data Quality Services and SQL Server Master Data Services. 13. Class Schedule Description: Learn the knowledge and skills to implement a Data Warehouse with Microsoft SQL Server Prepare for certification. 14. Counselor Information: This course is intended for database professionals who need to fulfill a Business Intelligence Developer role. This course also helps students prepare for the Exam Successful passage of this exam provides credit for the Microsoft's MSCE and MCSA. certifications. II. III. Student Learning Outcomes The student will: 1. Design and implement a data warehouse using Microsoft's SQL Server Develop SQL Server Integration Services (SSIS) packages for data extraction, transformation, and loading (ETL). 3. Enforce data integrity by using Master Data Services. 4. Cleanse data by using Data Quality Services. Course Content:

2 A. Introduction to Data Warehousing 1. Overview of Data Warehousing 2. Considerations for a Data Warehouse Solution 3. Lab: Exploring a Data Warehousing Solution 4. Exploring data sources 5. Exploring an ETL solution 6. Exploring a data warehouse B. Data Warehouse Hardware 1. Considerations for Building a Data Warehouse 2. Data Warehouse Reference Architectures and Appliances C. Designing and Implementing a Data Warehouse 1. Logical Design for a Data Warehouse 2. Physical Design for a Data Warehouse 3. Lab: Implementing a Data Warehouse Schema a. Implementing a Star Schema b. Implementing a Snowflake Schema c. Implementing a Time Dimension Table D. Creating an ETL Solution with SSIS 1. Introduction to ETL with SSIS 2. Exploring Source Data 3. Implementing Data Flow 4. Lab: Implementing Data Flow in a SSIS Package a. Exploring Source Data b. Transferring Data by Using a Data Flow Task c. Using Transformations in a Data Flow E. Implementing Control Flow in an SSIS Package 1. Introduction to Control Flow 2. Creating Dynamic Packages 3. Using Containers 4. Managing Consistency 5. Lab: Implementing Control Flow in an SSIS Package a. Using Tasks and Precedence in a Control Flow b. Using Variables and Parameters c. Using Containers 6. Lab : Using Transactions and Checkpoints a. Using Transactions b. Using Checkpoints F. Debugging and Troubleshooting SSIS Packages 1. Debugging an SSIS Package 2. Logging SSIS Package Events 3. Handling Errors in an SSIS Package 4. Lab: Debugging and Troubleshooting an SSIS Package a. Debugging an SSIS Package b. Logging SSIS Package Execution c. Implementing an Event Handler d. Handling Errors in a Data Flow G. Implementing an Incremental ETL Process 1. Introduction to Incremental ETL

3 1. Introduction to Incremental ETL 2. Extracting Modified Data 3. Loading Modified Data 4. Lab: Extracting Modified Data a. Using a DateTime Column to Incrementally Extract Data b. Using a Change Data Capture c. Using Change Tracking 5. Lab: Loading Incremental Changes a. Using a Lookup Transformation to Insert Dimension Data b. Using a Lookup Transformation to Insert or Update Dimension Data c. Implementing a Slowly Changing Dimension d. Using a MERGE Statement to Load Fact Data H. Incorporating Data from the Cloud into a Data Warehouse 1. Overview of Cloud Data Sources 2. SQL Server Database 3. The Windows Azure Marketplace 4. Lab: Using Cloud Data in a Data Warehouse Solution a. Creating a SQL Azure Database b. Extracting Data from a SQL Azure Database I. Enforcing Data Quality 1. Introduction to Data Quality 2. Using Data Quality Services to Cleanse Data 3. Using Data Quality Services to Match Data 4. Lab: Cleansing Data a. Creating a DQS Knowledge Base b. Using a DQS Project to Cleanse Data c. Using DQS in an SSIS Package 5. Lab : Deduplicating Data a. Creating a Matching Policy b. Using a DQS Project to Match Data J. Using Master Data Services 1. Introduction to Master Data Services 2. Implementing a Master Data Services Model 3. Using the Master Data Services Add-in for Excel 4. Lab: Implementing Master Data Services a. Creating a Basic Model b. Editing a Model by Using the Master Data Services Add-in for Excel c. Loading Data into a Model d. Enforcing Business Rules e. Consuming Master Data Services Data K. Extending SQL Server Integration Services 1. Using Custom Components in SSIS 2. Using Scripts in SSIS 3. Lab: Using Custom Components and Scripts a. Using a Custom Component b. Using a Script Task c. Deploying and Configuring SSIS Packages d. Overview of SSIS Deployment

4 e. Deploying SSIS Projects f. Planning SSIS Package Execution 4. Lab: Deploying and Configuring SSIS Packages a. Create a SSIS Catalog b. Deploy an SSIS Project c. Create Environments for an SSIS Solution d. Running an SSIS Package in SQL Server Management Studio e. Scheduling SSIS Packages with SQL Server Agent L. Consuming Data in a Data Warehouse 1. Introduction to Business Intelligence 2. Introduction to Reporting 3. Introduction to Data Analysis 4. Lab: Using Business Intelligence Tools a. Exploring a Reporting Services Report b. Exploring a PowerPivot Workbook c. Exploring a Power View Report IV. Course Assignments: A. Reading Assignments 1. Textbook readings and online supporting webpages to inform the student on the knowledge and skills design and implement a data warehouse using Microsoft SQL Server B. Projects, Activities, and other Assignments 1. Hands-on lab assignments in the Microsoft computer lab, or on the Microsoft elearning virtual lab site, to practice skills implementing a data warehouse, developing SQL Server Integration Services (SSIS) packages for data extraction, transformation, and loading, enforcing data integrity by using Master Data Services and cleansing data by using Data Quality Services. 2. Troubleshooting non-expected outcomes. C. Writing Assignments 1. Worksheets and Lab Reports to support the lab assignments and document the results of those lab assignments. V. Methods of Evaluation: A. Objective quizzes on the knowledge and skills to design and implement a data warehouse using Microsoft SQL Server B. Hands-on labs to practice skills implementing a data warehouse, developing SQL Server Integration Services (SSIS) packages for data extraction, transformation, and loading, enforcing data integrity by using Master Data Services and cleansing data by using Data Quality Services. Troubleshooting non-expected outcomes. C. Final comprehensive exam on the knowledge and skills used to design and implement a data warehouse using Microsoft SQL Server D. Skills-based assessment (hands-on final exam) on implementing a data warehouse using Microsoft SQL Server 2012 database. VI. Methods of Instruction:

5 A. Lecture B. Laboratory C. Discussion D. Demonstration E. Self-Paced F. Distance Learning G. Other 1. Microsoft IT Academy elearning site with virtual hands-on labs. VII. Textbooks: Recommended 1. Dejan Sarka, Matija Lah, Grega Jerkic Training Kit (Exam ): Implementing a Data Warehouse with Microsoft SQL Server st Edition, Microsoft Press, 2012 ISBN: Supplemental VIII. Supplies: Approval Date: CCC Number: TOP Codes: CID 5178

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