Data Warehouse SQL Server 2012 Training

Data warehousing is a solution organizations use to centralize business data for reporting and analysis. This five-day instructor-led course focuses on teaching individuals 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.

Objectives

• 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 SSIS solution that supports incremental data warehouse loads and changing data.
• Integrate cloud data into a data warehouse ecosystem infrastructure.
• 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 information workers can consume data from the data warehouse

Target Audience

This course is intended for database professionals who need to fulfill 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. Primary responsibilities include: Implementing a data warehouse; Developing SQL Server Integration Services (SSIS) packages for data extraction, transformation, and loading (ETL); Enforcing data integrity by using Master Data Services; Cleansing data by using Data Quality Services.

Pre-Requisites

• 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.

Content

Module 1: Introduction to Data Warehousing

• Overview of Data Warehousing
• Considerations for a Data Warehouse Solution
• Exploring data sources
• Exploring an ETL solution
• Exploring a data warehouse

Module 2: Data Warehouse Hardware

• Considerations for Building a Data Warehouse
• Data Warehouse Reference Architectures and Appliances

Module 3: Designing and Implementing a Data Warehouse

• Logical Design for a Data Warehouse
• Physical Design for a Data Warehouse
• Implementing a Star Schema and aSnowflake Schema
• Implementing a Time Dimension Table

Module 4: Creating an ETL Solution with SSIS

• Introduction to ETL with SSIS
• Exploring Source Data
• Implementing and ExploringData Flow
• Transferring Data by Using a Data Flow Task
• Using Transformations in a Data Flow

Module 5: Implementing Control Flow in an SSIS Package

• Introduction to Control Flow
• Creating Dynamic Packages
• Using Containers
• Managing Consistency
• Using Tasks and Precedence in a Control Flow
• Using Variables and Parameters
• Using Containers
• Using Transactions andCheckpoints

Module 6: Debugging and Troubleshooting SSIS Packages

• Debugging an SSIS Package
• Logging SSIS Package Events
• Handling Errors in an SSIS Package
• Debugging an SSIS Package
• Logging SSIS Package Execution
• Implementing an Event Handler
• Handling Errors in a Data Flow

Module 7: Implementing an Incremental ETL Process

• Introduction to Incremental ETL
• Extracting Modified Data
• Loading Modified Data
• Using a DateTime Column to Incrementally Extract Data
• Using a Change Data Capture andChange Tracking
• Using a Lookup Transformation to Insert or Update Dimension Data
• Implementing a Slowly Changing Dimension
• Using a MERGE Statement to Load Fact Data

Module 8: Incorporating Data from the Cloud into a Data Warehouse

• Overview of Cloud Data Sources
• SQL Server Database
• The Windows Azure Marketplace
• Creating a SQL Azure Database
• Extracting Data from a SQL Azure Database
• Obtaining Data from the Windows Azure Marketplace

Module 9: Enforcing Data Quality

• Introduction to Data Quality
• Using Data Quality Services to Cleanse and Match Data
• Creating a DQS Knowledge Base
• Using a DQS Project to Cleanse Data
• Using DQS in an SSIS Package
• Creating a Matching Policy
• Using a DQS Project to Match Data

Module 10: Using Master Data Services

• Introduction to Master Data Services
• Implementing a Master Data Services Model
• Using the Master Data Services Add-in for Excel
• Creating a Basic Model
• Editing a Model by Using the Master Data Services Add-in for Excel
• Loading Data into a Model
• Enforcing Business Rules
• Consuming Master Data Services Data

Module 11: Extending SQL Server Integration Services

• Using Custom Components in SSIS
• Using Scripts in SSIS
• Using a Custom Component
• Using a Script Task

Module 12: Deploying and Configuring SSIS Packages

• Overview of SSIS Deployment
• Deploying SSIS Projects
• Planning SSIS Package Execution
• Create a SSIS Catalog
• Create Environments for an SSIS Solution
• Running an SSIS Package in SQL Server Management Studio
• Scheduling SSIS Packages with SQL Server Agent

Module 13: Consuming Data in a Data Warehouse

• Introduction to Business Intelligence
• Introduction to Reporting andData Analysis
• Exploring a Reporting Services Report
• Exploring a PowerPivot Workbook
• Exploring a Power View Report

Data Warehouse and SQL Server 2012 training Inverness, Aberdeen, Glasgow, Edinburgh, Dunfermline and other sites throughout the UK including onsite closed company courses are available.

Data Warehouse and SQL Server 2012 Training in Ghana, Nigeria and Qatar is also available.