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Implementing a Data Warehouse with Microsoft SQL Server 2012 Boot Camp

Description

This 5-day instructor-led course describes how to implement a BI platform to support information worker analytics. Students will learn 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 the exam 70-463.


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.


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 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.


Microsoft Course 10777A
 

Prerequisites

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.

Curriculum

Module 1: Introduction to Data Warehousing. This module provides an introduction to the key components of a data warehousing solution and the high-level considerations you must take into account when embarking on a data warehousing project.

Lessons

  • Describe data warehouse concepts and architecture considerations
  • Considerations for a Data Warehouse SolutionLab : Exploring a Data Warehousing Solution
  • Exploring Data Sources•Exploring an ETL Process•Exploring a Data WarehouseDescribe data warehouse concepts and architecture considerations.


Module 2: Data Warehouse Hardware Considerations
This module describes the considerations for selecting the appropriate hardware platform for your data warehouse solution.

Lessons

  • The Challenges of Building a Data Warehouse
  • Data Warehouse Reference Architectures
  • Data Warehouse Appliances
  • Select an appropriate hardware platform for a data warehouse.


Module 3: Designing and Implementing a Data Warehouse
This module describes how to implement the logical and physical architecture of a data warehouse based on industry proven design principles.

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
  • Implement a Time Dimension Table
  • Design and implement a schema for a data warehouse.


Module 4: Design and implement a schema for a data warehouse
This module discusses considerations for implementing an ETL process, and then focuses on SQL Server Integration Services (SSIS) as a platform for building ETL solutions.

Lessons

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

 

Lab : Implementing Data Flow in an SSIS Package

  • Exploring Source Data
  • Transfer Data with a Data Flow Task
  • Using Transformations in a Data Flow
  • Implement Data Flow in an SSIS Package


Module 5: Implementing Control Flow in an SSIS Package
This module describes how to implement control flow which allows users to design robust ETL processes for a data warehousing solution that coordinate data flow operations with other automated tasks.

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 CheckpointsImplement control flow in an SSIS package.


Module 6: Debugging and Troubleshooting SSIS Packages
This module describes how you can debug packages to find the cause of errors that occur during execution. It then discusses the logging functionality built into SSIS that you can use to log events for troubleshooting purposes. Finally, the module describes common approaches for handling errors in control flow and data flow.

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 FlowDebug and Troubleshoot SSIS packages.


Module 7: Implementing an Incremental ETL Process
This module describes the techniques you can use to implement an incremental data warehouse refresh 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 DateTime Column to Incrementally Extract Data
  • Using Change Tracking

 

Lab : Loading Incremental Changes

  • Using a Lookup task to insert dimension data
  • Using a Lookup task to insert or update dimension data
  • Implementing a Slowly Changing Dimension
  • Using a MERGE statement to load fact dataImplement an SSIS solution that supports incremental DW loads and changing data.


Module 8: Incorporating Data from the Cloud in a Data WarehouseThis modules describes how integrate cloud data into a data warehouse ecosystem.

Lessons

  • Overview of Cloud Data Sources
  • SQL Server Azure
  • Azure Data Market

 

Lab : Using Cloud data in a Data Warehouse Solution

  • Extracting data from SQL Azure
  • Acquiring Data from the Azure Data Market
  • Integrate cloud data into a data warehouse ecosystem.


Module 9: Enforcing Data QualityThis modules describes how to use Data Quality Services (DQS) for cleansing and deduplicating your data.

Lessons

  • Introduction to Data Cleansing
  • 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
  • Use DQS in an SSIS Package

 

Lab : De-Duplicating Data

  • Creating a Matching Policy
  • Using a DQS Project to Match DataImplement data cleansing by using Microsoft Data Quality Services.


Module 10: Using Master Data Services
This module introduces Master Data Services and explains the benefits of using it in a business intelligence (BI) context. It also describes the key configuration options, explains how to import and export data and apply rules that help to preserve data integrity, and introduces the new Master Data Services Add-in for Excel.

Lessons

  • Master Data Services Concepts
  • Implementing a Master Data Services Model
  • Using the Master Data Services Excel Add-in

 

Lab : Implementing Master Data Services

  • Creating a Basic MDS Model
  • Editing an MDS Model With Excel
  • Loading Data into MDS
  • Enforcing Business Rules
  • Consuming Master Data Services Data
  • Implement Master Data Services to enforce data integrity at source.


Module 11: Extending SSIS
This module describes how to extend SSIS by using custom scripts and components.

Lessons

  • Using Custom Components in SSIS
  • Using Scripting in SSIS

 

Lab : Using Scripts and Custom Components

  • Using a Custom Component
  • Using the Script TaskExtend SSIS with custom scripts and components


Module 12: Deploying and Configuring SSIS PackagesThis modules describes how to deploy and configure SSIS packages.

Lessons

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

 

Lab : Deploying and Configuring SSIS Packages

  • Create an 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 AgentDeploy and configure SSIS packages.


Module 13: Consuming Data in a Data Warehouse
This module describes how information workers can consume data from the data warehouse.

Lessons

  • Using Excel to Analyze Data in a data Warehouse.
  • An Introduction to PowerPivot
  • An Introduction to CrescentLab : Using a Data Warehouse
  • Use PowerPivot to Query the Data Warehouse
  • Visualizing Data by Using CrescentDescribe how information workers can consume data from the data warehouse.






 

What's included?
 

  • Authorized Courseware
  • Intensive Hands on Skills Development with an Experienced Subject Matter Expert
  • Hands on practice on real Servers and extended lab support 1.800.482.3172
  • Examination Vouchers  & Onsite Certification Testing- (excluding Adobe and PMP Boot Camps) 
  • Academy Code of Honor: Test Pass Guarantee
  • Optional: Package for Hotel Accommodations, Lunch and Transportation

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With several convenient training delivery methods offered, The Academy makes getting the training you need easy. Whether you prefer to learn in a classroom or an online live learning virtual environment, training videos hosted online, and private group classes hosted at your site. We offer expert instruction to individuals, government agencies, non-profits, and corporations. Our live classes, on-sites, and online training videos all feature certified instructors who teach a detailed curriculum and share their expertise and insights with trainees. No matter how you prefer to receive the training, you can count on The Academy for an engaging and effective learning experience.

Methods

Instructor Led (the best training format we offer)
Live Online Classroom – Online Instructor Led
Self-Paced Video

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