Popis kurzu 20767 Implementing a SQL Data Warehouse
20767 Implementing a SQL Data Warehouse
Students will learn how to create a data warehouse with Microsoft® SQL Server® 2016 and with Azure SQL Data Warehouse, to implement ETL with SQL Server Integration Services, and to validate and cleanse data with SQL Server Data Quality Services.
PREREQUISITES In addition to their professional experience, students who attend this training should already have the following technical knowledge: At least 2 years’ experience of working with relational databases, including: Designing a normalized database, Creating tables and relationships. Querying with Transact-SQL, Some exposure to basic programming constructs (such as looping and branching), An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable. Top TARGET AUDIENCE The primary audience for this course are database professionals who need to fulfil a Business Intelligence Developer role. They will need to focus on hands-on work creating BI solutions including Data Warehouse implementation, ETL, and data cleansing.
COURSE OBJECTIVES After completing this course, students will be able to: Describe the key elements of a data warehousing solution Describe the main hardware considerations for building a data warehouse Implement a logical design for a data warehouse Implement a physical design for a data warehouse Create columnstore indexes Implementing an Azure SQL Data Warehouse Describe the key features of SSIS Implement a data flow by using SSIS Implement control flow by using tasks and precedence constraints Create dynamic packages that include variables and parameters Debug SSIS packages Describe the considerations for implement an ETL solution Implement Data Quality Services Implement a Master Data Services model Describe how you can use custom components to extend SSIS Deploy SSIS projects Describe BI and common BI scenarios
Top COURSE OUTLINE 1 - INTRODUCTION TO DATA WAREHOUSING Overview of Data Warehousing Considerations for a Data Warehouse Solution Lab: Exploring a Data Warehouse Solution
2 - PLANNING DATA WAREHOUSE INFRASTRUCTURE Considerations for Building a Data Warehouse Data Warehouse Reference Architectures and Appliances Lab: Planning Data Warehouse Infrastructure
3 - DESIGNING AND IMPLEMENTING A DATA WAREHOUSE Logical Design for a Data Warehouse Physical Design for a Data Warehouse Lab: Implementing a Data Warehouse Schema
4 - COLUMNSTORE INDEXES Introduction to ColumnStore Indexes Creating ColumnStore Indexes Working with ColumnStore Indexes Lab: Using ColumnStore Indexes
5 - IMPLEMENTING AN AZURE SQL DATA WAREHOUSE Advantages of Azure SQL Data Warehouse Implementing an Azure SQL Data Warehouse Developing an Azure SQL Data Warehouse Migrating to an Azure SQ Data Warehouse Lab: Implementing an Azure SQL Data Warehouse
6 - CREATING AN ETL SOLUTION Introduction to ETL with SSIS Exploring Source Data Implementing Data Flow Lab: Implementing Data Flow in an SSIS Package
7 - IMPLEMENTING CONTROL FLOW IN AN SSIS PACKAGE Introduction to Control Flow Creating Dynamic Packages Using Containers Lab: Implementing Control Flow in an SSIS Package Lab: Using Transactions and Checkpoints
8 - DEBUGGING & TROUBLESHOOTING SSIS PACKAGES Debugging an SSIS Package Logging SSIS Package Events Handling Errors in an SSIS Package Lab: Debugging and Troubleshooting an SSIS Package
9 - IMPLEMENTING AN INCREMENTAL ETL PROCESS Introduction to Incremental ETL Extracting Modified Data Temporal Tables Lab: Extracting Modified Data Lab: Loading Incremental Changes
10 - ENFORCING DATA QUALITY Introduction to Data Quality Using Data Quality Services to Cleanse Data Using Data Quality Services to Match Data Lab: Cleansing Data Lab: De-duplicating Data
11 - USING MASTER DATA SERVICES Master Data Services Concepts Implementing a Master Data Services Model Managing Master Data Creating a Master Data Hub Lab: Implementing Master Data Services
12 - EXTENDING SQL SERVER INTEGRATION SERVICES (SSIS) Using Custom Components in SSIS Using Scripting in SSIS Lab: Using Scripts and Custom Components
13 - DEPLOYING AND CONFIGURING SSIS PACKAGES Overview of SSIS Deployment Deploying SSIS Projects Planning SSIS Package Execution Lab: Deploying and Configuring SSIS Packages
14 - CONSUMING DATA IN A DATA WAREHOUSE Introduction to Business Intelligence Introduction to Reporting An Introduction to Data Analysis Analyzing Data with Azure SQL Data Warehouse Lab: Using Business Intelligence Tools
Actual course outline may vary depending on offering center. Contact your sales representative for more information.
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