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Home > Implementing A Data Warehouse With Microsoft Sql Server 2014 (course #20463)

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Implementing a Data Warehouse with Microsoft SQL Server 2014 (Course #20463)  

Overview

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.

 

Prerequisites

This course requires that you meet the following 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 fina

Course Outcomes

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.

Price

R10250.00  Incl VAT (applicable from Jan 2016) (Per Person, Includes Manual, Dataset CD)

PLEASE NOTE: Learnfast serves a full lunch during break as well as coffee, tea and biscuits as part at no extra cost. We also cater for special meals.

Duration

5 Days (08:30 - 16:00)

Our myWay Learning Methods

Our innovative "myWay” learning methodology is built around the students individual learning requirement, allowing each student to learn in a style that is most suitable for their skills set, knowledge and schedule.

Instructor-Led Classes

Reach your full potential through our “myWay Instructor-Led” classes combined with interactive lessons, supporting video content, practical assignments and in field experience. We deliver instructor led classes full time, part-time, weekends and onsite.

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Mentored Learning

The "myWay Mentored Learning” was created in response for more flexible learning schedules and focused content. It allows each student to progress in a manner that is most suitable for their skills set, knowledge and schedule that a fixed, lecture based approach does not allow for. You will be mentored on a one to one basis by a subject matter expert with continues practical exposure and focus on problem areas, allowing you to progress at your own pace and deciding what content requires more or less time.

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Distance Learning

Do a course at your own pace via our “myWay Distance Learning”. We have re-defined studying via online by combining self-study with supported interactive online video lectures, extra resources, questionnaires and much more, all supported via out Online Student Portal. You will get a course coach and lecturer assigned to you so that you never feel alone and have support whenever you need. Your coach will look after you and your study health, encouraging you to progress constantly.

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Testimonials

Important Notes

  • Students are to be at the training venue by 08h00 in preparation for a 08h30 start time.
  • Learnfast retains the right to change this calendar without any notification.
  • Bookings are only confirmed upon receipt of the proof of payment or an official company purchase order for the full amount of the training.
  • For full day courses Learnfast will supply you with the relevant training material. A desktop computer to use for the training (where applicable), tea/coffee and a full lunch for full day InClass training hosted at Learnfast only. Catering is not included for OnSite training and laptop is available for hire at an additional cost if required.
  • Cancellation or rescheduling requests must be in writing and reach us via fax or email at least 5 (five) working days prior to the course commencement date. Full course fees may be retained for no shows or requests within 5 working days prior to commencement.
  • Although we go to great lengths to ensure that all training proceeds as scheduled, Learnfast reserves the right to cancel or postpone dates if we require to do so and undertake to inform clients in writing and telephonically of these changes.
  • Learnfast suggests clients wait until a week prior to course commencement that a course has been confirmed to go ahead as scheduled before booking flight and accommodation. Learnfast is NOT responsible for cost associated with cancellation of classes such as flight and accommodation for clients.

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

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

Module 2: Planning Data Warehouse Infrastructure
This module discusses considerations for selecting hardware and distributing SQL Server facilities across servers.
Lessons

  • Considerations for Data Warehouse Infrastructure
  • Planning Data Warehouse Hardware

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

  • Data Warehouse Design Overview
  • Designing Dimension Tables
  • Designing Fact Tables
  • 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

  • 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

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

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

Module 7: Implementing a Data Extraction Solution
This module describes the techniques you can use to implement an incremental data warehouse refresh process.
Lessons

  • Planning Data Extraction
  • Extracting Modified Data

Module 8: Loading Data into a Data Warehouse
This module describes the techniques you can use to implement data warehouse load process.
Lessons

  • Planning Data Loads
  • Using SSIS for Incremental Loads
  • Using Transact-SQL Loading Techniques

Module 9: 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

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

Module 10: 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

  • Introduction to Master Data Services
  • Implementing a Master Data Services Model
  • Managing Master Data
  • Creating a Master Data Hub

Module 11: 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

  • Using Scripts in SSIS
  • Using Custom Components in SSIS

Module 12: 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

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

Module 13: 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

  • Introduction to Business Intelligence
  • Enterprise Business Intelligence
  • Self-Service BI and Big Data
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