Implementing a Data Warehouse with Microsoft SQL Server 2012
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1 Implementing a Data Warehouse with Microsoft SQL Server 2012 Course ID MSS300 Course Description Ace your preparation for Microsoft Certification Exam with this course Maximize your performance on the exam by learning how to: Design and implement a data warehouse Develop and enhance SQL Server Integration Services packages Manage and maintain SQL Server Integration Services packages Build data quality solutions Implement custom code in SQL Server Integration Services packages Prerequisites None Audience This exam is primarily intended for ETL and data warehouse developers who create Business Intelligence (BI) solutions, and whose responsibilities include data cleansing, and Extract Transform Load and data warehouse implementation. Duration 5 days
2 Course Content Data Warehouse Logical Design Introducing Star and Snowflake Schemas Designing Dimensions Designing Fact Tables s Implementing a Data Warehouse Implementing Dimensions and Fact Tables Managing the Performance of a Data Warehouse Loading and Auditing Loads s Developing SSIS Packages Creating SSIS Packages Using the SQL Server Import and Export Wizard Developing SSIS Packages in SSDT Introducing Control Flow, Data Flow, and Connection Managers s Designing and Implementing Control Flow Connection Managers Control Flow Tasks and Containers Precedence Constraints s
3 Designing and Implementing Data Flow Defining Data Sources and Destinations Working with Data Flow Transformations Determining Appropriate ETL Strategy and Tools Enhancing SSIS Packages Enhancing Control Flow SSIS Variables Connection Managers, Tasks, and Precedence Constraint Expressions Using a Master Package for Advanced Control Flow s Enhancing Data Flow Slowly Changing Dimensions Preparing a Package for Incremental Load Error Flow Creating a Robust and Restartable Package Package Transactions Checkpoints Event Handlers
4 Implementing Dynamic Packages Package-Level and Project-Level Connection Managers and Parameters Package Configurations Auditing and Logging Logging Packages Implementing Auditing and Lineage Preparing Package Templates s Managing and Maintaining SSIS Packages Installing SSIS and Deploying Packages Installing SSIS Components Deploying SSIS Packages s Executing and Securing Packages Executing SSIS Packages Securing SSIS Packages s
5 Troubleshooting and Performance Tuning Troubleshooting Package Execution Performance Tuning Suggested Practice Building Data Quality Solutions Installing and Maintaining Data Quality Services Data Quality Problems and Roles Installing Data Quality Services Maintaining and Securing Data Quality Services Implementing Master Data Services Defining Master Data Installing Master Data Services Creating a Master Data Services Model s Managing Master Data Importing and Exporting Master Data Defining Master Data Security Using Master Data Services Add-in for Excel
6 Creating a Data Quality Project to Clean Data Creating and Maintaining a Knowledge Base Creating a Data Quality Project Profiling Data and Improving Data Quality Advanced SSIS and Data Quality Topics SSIS and Data Mining Data Mining Task and Transformation Text Mining Preparing Data for Data Mining Implementing Custom Code in SSIS Packages Script Task Script Component Implementing Custom Components Identity Mapping and De-Duplicating Understanding the Problem Using DQS and the DQS Cleansing Transformation Implementing SSIS Fuzzy Transformations
COURSE 20463C: IMPLEMENTING A DATA WAREHOUSE WITH MICROSOFT SQL SERVER
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Page 1 of 7 Overview This course describes how to implement a data warehouse platform to support a BI solution. Students will learn how to create a data warehouse with Microsoft SQL 2014, implement ETL
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