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20463 Implementing a Data Warehouse with Microsoft® SQL Server®

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20463 Implementing a Data Warehouse with Microsoft® SQL Server®

Students will learn how to create a data warehouse with Microsoft SQL Server 2014, implement ETL with SQL Server Integration Services, and validate and cleanse data with SQL Server Data Quality Services and SQL Server Master Data Services.

TARGET AUDIENCE
This course is intended for database professionals who need to create and support a data warehousing solution. Primary responsibilities include:
•Implementing a data warehouse.
•Developing SSIS packages for data extraction, transformation, and loading.
•Enforcing data integrity by using Master Data Services.
•Cleansing data by using Data Quality Services.

COURSE OBJECTIVES
After completing this course, students will be able to:
•Describe data warehouse concepts and architecture considerations.
•Select an appropriate hardware platform for a data warehouse.
•Design and implement a data warehouse.
•Implement Data Flow in an SSIS Package.
•Implement Control Flow in an SSIS Package.
•Debug and Troubleshoot SSIS packages.
•Implement an ETL solution that supports incremental data extraction.
•Implement an ETL solution that supports incremental data loading.
•Implement data cleansing by using Microsoft Data Quality Services.
•Implement Master Data Services to enforce data integrity.
•Extend SSIS with custom scripts and components.
•Deploy and Configure SSIS packages.
•Describe how BI solutions can consume data from the data warehouse.

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COURSE OUTLINE
1 - INTRODUCTION TO DATA WAREHOUSING
Overview of Data Warehousing
Considerations for a Data Warehouse Solution
Lab : Exploring a Data Warehousing Solution

2 - PLANNING DATA WAREHOUSE INFRASTRUCTURE
Considerations for Data Warehouse Infrastructure
Planning Data Warehouse Hardware
Lab : Planning Data Warehouse Infrastructure

3 - DESIGNING AND IMPLEMENTING A DATA WAREHOUSE
Data Warehouse Design Overview
Designing Dimension Tables
Designing Fact Tables
Physical Design for a Data Warehouse
Lab : Implementing a Data Warehouse

4 - CREATING AN ETL SOLUTION WITH SSIS
Introduction to ETL with SSIS
Exploring Data Sources
Implementing Data Flow
Lab : Implementing Data Flow in an SSIS Package

5 - IMPLEMENTING CONTROL FLOW IN AN SSIS PACKAGE
Introduction to Control Flow
Creating Dynamic Packages
Using Containers
Managing Consistency
Lab : Implementing Control Flow in an SSIS Package
Lab : Using Transactions and Checkpoints

6 - DEBUGGING AND TROUBLESHOOTING SSIS PACKAGES
Debugging an SSIS Package
Logging SSIS Package Events
Handling Errors in an SSIS Package
Lab : Debugging and Troubleshooting an SSIS Package

7 - IMPLEMENTING A DATA EXTRACTION SOLUTION
Planning Data Extraction
Extracting Modified Data
Lab : Extracting Modified Data

8 - LOADING DATA INTO A DATA WAREHOUSE
Planning Data Loads
Using SSIS for Incremental Loads
Using Transact-SQL Loading Techniques
Lab : Loading a Data Warehouse

9 - ENFORCING DATA QUALITY
Introduction to Data Quality
Using Data Quality Services to Cleanse Data
Using Data Quality Services to Cleanse Data
Lab : Cleansing Data

10 - MASTER DATA SERVICES
Introduction to Master Data Services
Implementing a Master Data Services Model
Managing Master Data
Creating a Master Data Hub
Lab : Implementing Master Data Services

11 - EXTENDING SQL SERVER INTEGRATION SERVICES
Using Scripts in SSIS
Using Custom Components in SSIS
Lab : Using Custom Scripts

12 - DEPLOYING AND CONFIGURING SSIS PACKAGES
Overview of SSIS Deployment
Deploying SSIS Projects
Planning SSIS Package Execution
Lab : Deploying and Configuring SSIS Packages

13 - CONSUMING DATA IN A DATA WAREHOUSE
Introduction to Business Intelligence
Enterprise Business Intelligence
Self-Service BI and Big Data
Lab : Using a Data Warehouse

20463 Implementing a Data Warehouse with Microsoft® SQL Server®

Vybraný termín:

18.6.2018 –  22.6.2018  ONLINE

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