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Home > Implementing A Sql Data Warehouse (#20767)

Implementing a SQL Data Warehouse (#20767) 

- Learnfast is a Microsoft Silver Learning Partner. This is an authorised Microsoft Official Course (MOC).

This 5-day course provides students with the knowledge and skills to provision a Microsoft SQL Server 2016/2017/2019 database. The course covers SQL Server provision both on-premise and in Azure, and covers installing from new and migrating from an existing install.

 

 

Features & Benefits

  •  This is an authorised Microsoft Official Course (MOC). 

         

  • Attendees will learn practical skills which can be applied in the work environment.
  • Even though Microsoft retired the certification exams for MCSA/E/D certifications, we will still provide you with a Microsoft Certificate of Completion of your course.
  • Take full advantage of our new Hybrid Learning by attending on campus or virtually. Have all your classes ready to be downloaded and watched, anytime, anywhere. (Read More) 

         

Outcomes & Objectives

After completing this course, learners will be able to:

  • Provision a Database Server.
  • Upgrade SQL Server.
  • Configure SQL Server.
  • Manage Databases and Files (shared).

  • Pricing & Payment Options

    NEW SECTION

  • Duration

    In Class/Virtual Class, Hybrid Learning (Learn More)

    • 5 Days (08:30 – 16:00) Classes are  presented via our Hybrid Learning allowing  learners the flexibility to attend on campus or in the comfort of their home or workplace.

     

  • Course Prerequisites

    In addition to their professional experience, learners who attend this training should already have the following technical knowledge:

     

    • Basic knowledge of the Microsoft Windows operating system and its core functionality.
    • Working knowledge of relational databases.
    • Some experience with database design.

  • Who Should Attend

    The primary audience for this course is 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. 

Our Delivery 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, done during the traditional 08:00 – 16:00 working day.

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Online Mentored Learning

Do a course at your pace via our “myWay Online Mentored Learning”, combining self-study with supported interactive online video lectures, an online course mentor, extra resources, questionnaires and more, all supported via out Online Student Portal.

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Part Time Mentored Learning

Designed for the working professional, our part time programmes provides you with the flexibility and benefit of our myWay Blended Learning with at home exercises/assignments and mentored or in-class lectures at a manageable schedule and pace.

Learn more

Our Hybrid Delivery Methods

Our Hybrid Delivery Methods

myWay Hybrid Learning is a technology mediated delivery method that extends the benefit of flexibility and technology to all students. Each Hybrid delivery method is described in the section below.

#AnywhereAnytime

Have all your classes ready to be downloaded and watched, anytime, anywhere.

#NoStudentLeftBehind

Never miss a classs because of health, traffic, or transport issues.

#Flexibility

A personalized class schedule, attend class on campus, virtually or both.

 

In Class or Virtual Class Based Learning

A technology mediated delivery method allowing campus based class or virtual class attendance, or a combination of both. Classes can be in the form of lecture based or mentored based.

LEARN MORE
 

Mentored Online Learning

A technology mediated, self paced online delivery method with personal mentorship.

LEARN MORE

Important Notes

  • Learners to arrive at the training venue from 08:00 in preparation for 08:30 starting time 
  • Bookings are only confirmed upon receipt of the proof of payment or an official company purchase order. 
  • For full day, on campus courses, Learnfast will supply you with a computer to use for training (if applicable),& tea/coffee and a full lunch. Catering is not included for On-Site training and laptops are available for hire at an additional cost if required. 
  • Cancellation or rescheduling requests must be in writing and reach us via email at least 5-10 working days prior to the course commencement date. Full course fees will be retained for no shows. 
  • Virtual learners are required to have a stable internet connection & a working headset available for sound purposes.  
  • Learners who use their own laptops are fully responsible to ensure that administration rights, software installations, etc. are working sufficiently prior to training. 
  •  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 is not responsible for costs associated with cancellation of classes such as flight and accommodation for clients. 
Module 1: Introduction to Data Warehousing
This module describes data warehouse concepts and architecture consideration.
 
  • Overview of Data Warehousing
  • Considerations for a Data Warehouse Solution
 
Module 2: Planning Data Warehouse Infrastructure
This module describes the main hardware considerations for building a data warehouse.
 
  • Considerations for data warehouse infrastructure.
  • Planning data warehouse hardware.
 
Module 3: Designing and Implementing a Data Warehouse
This module describes how you go about designing and implementing a schema for a data warehouse.
 
  • Designing dimension tables
  • Designing fact tables
  • Physical Design for a Data Warehouse
 
Module 4: Columnstore Indexes
This module introduces Columnstore Indexes.
 
  • Introduction to Columnstore Indexes
  • Creating Columnstore Indexes
  • Working with Columnstore Indexes
 
Module 5: Implementing an Azure SQL Data Warehouse
This module describes Azure SQL Data Warehouses and how to implement them.
 
  • Advantages of Azure SQL Data Warehouse
  • Implementing an Azure SQL Data Warehouse
  • Developing an Azure SQL Data Warehouse
  • Migrating to an Azure SQ Data Warehouse
  • Copying data with the Azure data factory
 
Module 6: Creating an ETL Solution
At the end of this module you will be able to implement data flow in a SSIS package.
 
  • Introduction to ETL with SSIS
  • Exploring Source Data
  • Implementing Data Flow
 
Module 7: Implementing Control Flow in an SSIS Package
This module describes implementing control flow in an SSIS package.
 
  • Introduction to Control Flow
  • Creating Dynamic Packages
  • Using Containers
  • Managing consistency.
 
Module 8: Debugging and Troubleshooting SSIS Packages
This module describes how to debug and troubleshoot SSIS packages.
 
  • Debugging an SSIS Package
  • Logging SSIS Package Events
  • Handling Errors in an SSIS Package
 
Module 9: Implementing a Data Extraction Solution
This module describes how to implement an SSIS solution that supports incremental DW loads and changing data.
 
  • Introduction to Incremental ETL
  • Extracting Modified Data
  • Loading modified data
  • Temporal Tables
 
Module 10: Enforcing Data Quality
This module describes how to implement data cleansing by using Microsoft Data Quality services.
 
  • Introduction to Data Quality
  • Using Data Quality Services to Cleanse Data
  • Using Data Quality Services to Match Data
 
Module 11: Using Master Data Services
This module describes how to implement master data services to enforce data integrity at source.
 
  • Introduction to Master Data Services
  • Implementing a Master Data Services Model
  • Hierarchies and collections
  • Creating a Master Data Hub
 
Module 12: Extending SQL Server Integration Services (SSIS)
This module describes how to extend SSIS with custom scripts and components.
 
  • Using scripting in SSIS
  • Using custom components in SSIS
 
Module 13: Deploying and Configuring SSIS Packages
This module describes how to deploy and configure SSIS packages.
 
  • Overview of SSIS Deployment
  • Deploying SSIS Projects
  • Planning SSIS Package Execution
 
Module 14: Consuming Data in a Data Warehouse
This module describes how to debug and troubleshoot SSIS packages.
 
  • Introduction to Business Intelligence
  • An Introduction to Data Analysis
  • Introduction to reporting
  • Analyzing Data with Azure SQL Data Warehouse
  • Campus
    Start Date
    End Date
    Type
    Book Now
  • 11 November 2024
    15 November 2024
    Full Time
  • Campus
    Start Date
    End Date
    Type
    Book Now
  • 11 November 2024
    15 November 2024
    Correspondence
  • Campus
    Start Date
    End Date
    Type
    Book Now
  • 11 November 2024
    15 November 2024
    Full Time

By completing the below online booking, a booking confirmation will be sent out and an invoice will be generated. A place will be reserved on this course and you are expected to attend. If you require a quote first please contact Learnfast offices and speak to a sales consultant.

Implementing a SQL Data Warehouse (#20767)
  1. By booking for this course, an invoice will be generated and you will be liable for the payment of this invoice. If you require a quote, please contact The CAD Corporation Offices.
  2. After the generation of the invoice a training confirmation will be emailed using the details provided above.
  3. The CAD Corporation retains the rights to change this calendar without any notification.
  4. Tea/coffee and a light lunch will be provided.
  5. All university students will receive a 10% discount for cash payments.
  6. The minimum notice of cancellation is 5 (five) working days prior to the course commencement date. If you fail to do so the full amount is payable.
  7. Students are to be at the training venue by 08h00 in preparation for a 08h30 start time.
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As a valued friend of Learnfast, we take your privacy seriously. The POPI Act comes into effect on 1 July 2021 and, we would like to assure you that we treat your information with sensitivity and confidentiality.

By filling in this form, you agree to receive newsletters and communication from Learnfast.
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