moc on demand 20463


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CodeOD20463
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QA Training Fee£495 - excludes VAT
Duration / Availability30 Hours / Available for 90 days from activation
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Rezound provide official OD20463 Implementing a Data Warehouse with Microsoft SQL Server 2014 (MOC On-Demand) online learning courses at the lowest prices.

Certification packages available for further savings - order yours now!

Course Details

Introduction

MOC On-Demand Best Price

This course describes how to implement a data warehouse platform to support a BI solution. 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.

Note: This course is designed for customers who are interested in learning SQL Server 2012 or SQL Server 2014. It covers the new features in SQL Server 2014, but also the important capabilities across the SQL Server data platform.

Related Certifications and Examinations

There can be many combinations for how a course's content maps to the various examinations and related certifications.

We have listed as many of the primary ones as possible and continually update our database - please contact us for further information.

Related Examinations

Related Certifications

Audience

This course is intended for database professionals who need to fulfil 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 SSIS packages for data extraction, transformation, and loading

Enforcing data integrity by using Master Data Services

Cleansing data by using Data Quality Services

At Course Completion

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

Prerequisites

Before attending this course, students must 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.

Materials

MOC On-Demand is an integrated blend of video, text, hands-on labs, and knowledge checks, designed to help IT professionals and developers build their skills on Microsoft technologies. The courses provide a self-paced, stand-alone training alternative for those who prefer to learn at their own convenience.

Any labs associated with courses are delivered on the Microsoft Labs Online (MLO) platform via web browser. Students launch the labs directly from within the course; no additional set-up is required.

Course Outline

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 you embark on a data warehousing project.

Lessons and Activities

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

Lab : Exploring a Data Warehousing Solution

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

Module 2: Data Warehouse Hardware Considerations

This module discusses considerations for selecting hardware and distributing SQL Server facilities across servers.

Lessons and Activities

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

Lab : Planning Data Warehouse Infrastructure

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

Module 3: Designing and Implementing a Data Warehouse

This module describes the key considerations for the logical design of a data warehouse, and then discusses best practices for its physical implementation.

Lessons and Activities

  • Logical Design for a Data Warehouse
  • Physical design for a data warehouse

Lab : Implementing a Data Warehouse Schema

  • Logical Design for a Data Warehouse
  • Physical design for a data warehouse

Module 4: Creating an ETL Solution with SSIS

This module discusses considerations for implementing an ETL process, and then focuses on Microsoft SQL Server Integration Services (SSIS) as a platform for building ETL solutions.

Lessons and Activities

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

Lab : Implementing Data Flow in an SSIS Package

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

Module 5: Implementing Control Flow in an SSIS Package

This module describes how to implement ETL solutions that combine multiple tasks and workflow logic.

Lessons and Activities

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

Lab : Implementing Control Flow in an SSIS Package

  • Implementing Control Flow in an SSIS Package

Lab : Using Transactions and Checkpoints

  • Using Transactions and Checkpoints

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 and Activities

  • 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 Events
  • Handling Errors in an SSIS Package

Module 7: Implementing an Incremental ETL Process

This module describes the techniques you can use to implement an incremental data warehouse refresh process.

Lessons and Activities

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

Lab : Extracting Modified Data

  • Extracting Modified Data

Lab : Loading Incremental Changes

  • Loading Incremental Changes

Module 8: Enforcing Data Quality

This module introduces Microsoft SQL Server Data Quality Services (DQS), and describes how you can use it to cleanse and deduplicate data.

Lessons and Activities

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

Lab : Cleansing Data

  • Using Data Quality Services to Cleanse Data

Lab : De-duplicating data

  • De-duplicating data

Module 9: Using Master Data Services

Master Data Services provides a way for organizations to standardize data and improve the quality, consistency, and reliability of the data that guides key business decisions. This module introduces Master Data Services and explains the benefits of using it.

Lessons and Activities

  • Master Data Services Concepts
  • Implementing a Master Data Services Model
  • Managing Master Data
  • Creating a Master Data Hub

Lab : Implementing Master Data Services

  • Implementing Master Data Services

Module 10: Extending SQL Server Integration Services

This module describes the techniques you can use to extend SSIS. The module is not designed to be a comprehensive guide to developing custom SSIS solutions, but to provide an awareness of the fundamental steps required to use custom components and scripts in an ETL process that is based on SSIS.

Lessons and Activities

  • Using Scripts in SSIS
  • Using Custom Components in SSIS

Lab : Using Custom Components and Scripts

  • Using Custom Components and Scripts

Module 11: Deploying and Configuring SSIS Packages

In this module, students will learn how to deploy packages and their dependencies to a server, and how to manage and monitor the execution of deployed packages.

Lessons and Activities

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

Lab : Deploying and Configuring SSIS Packages

  • Deploying and Configuring SSIS Packages

Module 12: Consuming Data in a Data Warehouse

This module introduces business intelligence (BI) solutions and describes how you can use a data warehouse as the basis for enterprise and self-service BI.

Lessons and Activities

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

Lab : Using Business Intelligence Tools

  • Using Business Intelligence Tools

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