Implementing a Data Warehouse with Microsoft SQL Server 2012 Training

Implementing a Data Warehouse with Microsoft SQL Server 2012 Training (M10777)

Introduction:

Implementing a Data Warehouse with Microsoft SQL Server 2012 Training Course Description

Data warehousing is a solution organizations use to centralize business data for reporting and analysis. This five-day instructor-led Implementing a Data Warehouse with Microsoft SQL Server 2012 Training 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. This Implementing a Data Warehouse with Microsoft SQL Server 2012 Training course helps people prepare for exam 70-463.

Customize It:

With onsite Training, courses can be scheduled on a date that is convenient for you, and because they can be scheduled at your location, you don’t incur travel costs and students won’t be away from home. Onsite classes can also be tailored to meet your needs. You might shorten a 5-day class into a 3-day class, or combine portions of several related courses into a single course, or have the instructor vary the emphasis of topics depending on your staff’s and site’s requirements.

Audience/Target Group

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

Implementing a Data Warehouse with Microsoft SQL Server 2012 Training (M10777)Related Courses:

Duration: 5 days

What You Will Learn:

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

Course Content:

Module 1: Introduction to Data Warehousing

Lessons

Overview of Data Warehousing
Considerations for a Data Warehouse Solution

Lab: Exploring a Data Warehousing Solution

Exploring data sources
Exploring an ETL solution
Exploring a data warehouse

Module 2: Data Warehouse Hardware

Lessons

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

Module 3: Designing and Implementing a Data Warehouse

Lessons

Logical Design for a Data Warehouse
Physical Design for a Data Warehouse

Lab: Implementing a Data Warehouse Schema

Implementing a Star Schema
Implementing a Snowflake Schema
Implementing a Time Dimension Table

Module 4: Creating an ETL Solution with SSIS

Lessons

Introduction to ETL with SSIS
Exploring Source Data
Implementing Data Flow

Lab: Implementing Data Flow in a SSIS Package

Exploring Source Data
Transferring Data by Using a Data Flow Task
Using Transformations in a Data Flow

Module 5: Implementing Control Flow in an SSIS Package

Lessons

Introduction to Control Flow
Creating Dynamic Packages
Using Containers
Managing Consistency

Lab: Implementing Control Flow in an SSIS Package

Using Tasks and Precedence in a Control Flow
Using Variables and Parameters
Using Containers

Lab: Using Transactions and Checkpoints

Using Transactions
Using Checkpoints

Module 6: Debugging and Troubleshooting SSIS Packages

Lessons

Debugging an SSIS Package
Logging SSIS Package Events
Handling Errors in an SSIS Package

Lab: Debugging and Troubleshooting 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

Lessons

Introduction to Incremental ETL
Extracting Modified Data
Loading Modified Data

Lab: Extracting Modified Data

Using a DateTime Column to Incrementally Extract Data
Using a Change Data Capture
Using Change Tracking

Lab: Loading Incremental Changes

Using a Lookup Transformation to Insert Dimension Data
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

Lessons

Overview of Cloud Data Sources
SQL Server Database
The Windows Azure Marketplace

Lab: Using Cloud Data in a Data Warehouse Solution

Creating a SQL Azure Database
Extracting Data from a SQL Azure Database
Obtaining Data from the Windows Azure Marketplace

Module 9: Enforcing Data Quality

Lessons

Introduction to Data Quality
Using Data Quality Services to Cleanse Data
Using Data Quality Services to Match Data

Lab: Cleansing Data

Creating a DQS Knowledge Base
Using a DQS Project to Cleanse Data
Using DQS in an SSIS Package

Lab: Deduplicating Data

Creating a Matching Policy
Using a DQS Project to Match Data

Module 10: Using Master Data Services

Lessons

Introduction to Master Data Services
Implementing a Master Data Services Model
Using the Master Data Services Add-in for Excel

Lab: Implementing Master Data Services

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

Lessons

Using Custom Components in SSIS
Using Scripts in SSIS

Lab: Using Custom Components and Scripts

Using a Custom Component
Using a Script Task

Module 12: Deploying and Configuring SSIS Packages

Lessons

Overview of SSIS Deployment
Deploying SSIS Projects
Planning SSIS Package Execution

Lab: Deploying and Configuring SSIS Packages

Create a SSIS Catalog
Deploy an SSIS Project
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

Lessons

Introduction to Business Intelligence
Introduction to Reporting
Introduction to Data Analysis

Lab: Using Business Intelligence Tools

Exploring a Reporting Services Report
Exploring a PowerPivot Workbook
Exploring a Power View Report

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Time Frame: 0-3 Months4-12 Months

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