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   Implementing a Data Warehouse with Microsoft SQL Server 2012

Admission

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.


Implementing a Data Warehouse with Microsoft SQL Server 2012
Exam # Duration Language Level Type Classroom Code Fees
70-463 45 English Professional Course Classroom Cs202 0 LE
Description :

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. This course helps people prepare for exam 70-463.



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.


Topics :

Introduction to Data Warehousing

  • Overview of Data Warehousing
  • Considerations for a Data Warehouse Solution

Data Warehouse Hardware

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

Designing and Implementing a Data Warehouse

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

Creating an ETL Solution with SSIS

  • Introduction to ETL with SSIS
  • Exploring Source Data
  • Implementing Data Flow

Implementing Control Flow in an SSIS Package

  • Introduction to Control Flow
  • Creating Dynamic Packages
  • Using Containers
  • Managing Consistency

Debugging and Troubleshooting SSIS Packages

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

Implementing an Incremental ETL Process

  • Introduction to Incremental ETL
  • Extracting Modified Data
  • Loading Modified Data

Incorporating Data from the Cloud into a Data Warehouse

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

Enforcing Data Quality

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

Using Master Data Services

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

Extending SQL Server Integration Services

  • Using Custom Components in SSIS
  • Using Scripts in SSIS

Deploying and Configuring SSIS Packages

  • Overview of SSIS Deployment
  • Deploying SSIS Projects
  • Planning SSIS Package Execution

Consuming Data in a Data Warehouse

  • Introduction to Business Intelligence
  • Introduction to Reporting
  • Introduction to Data Analysis




Recommended Knowledge :

Before attending this course, student should have:

•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.

Recommended Course(s) :

Training Materials :

Microsoft Official Courseware (MOC)


Labs :

This course includes several labs to ensure you will gain the targeted skills and experience.


Credential :
Category :
DataBase


The Instructor:
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