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20767: Implementing a SQL Data Warehouse

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Starting From
RM 3000.00
  1. 5 Days
  1. HRDF SBL Claimable
  2. Lunch & refreshment provided
  3. Certificate of Attendance available
Starting From
RM 3300.00
  1. 40 Hours
  1. HRDF SBL Claimable
  2. Certificate of Attendance available
  3. 90 days of access from date of activation

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  1. 5 Days

20767: Implementing a SQL Data Warehouse

WHAT YOU WILL LEARN

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

This official Microsoft course is also available as Microsoft On-Demand (MOC On Demand) and blends video, text, hands-on labs and knowledge checks to help you build your Microsoft technology skills—on your own schedule, at your own pace and in your own place. No need to spend time and money travelling to a classroom location or adhering to classroom hours—with a computer and an Internet connection, your Microsoft Official Courses On-Demand come to you, any time.

AUDIENCE

The primary audience for this course are 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.

PREREQUISITES

REQUIRED PREREQUISITES

In addition to their professional experience, students 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.

METHODOLOGY

This program will be conducted with interactive lectures, PowerPoint presentations, discussions and practical exercises

COURSE OBJECTIVES

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

Expand All

Modules

Module 1: Introduction to Data Warehousing

This module describes data warehouse concepts and architecture consideration.

Lessons

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

Lab : Exploring a Data Warehouse Solution

  • Exploring data sources
  • Exploring an ETL process
  • Exploring a data warehouse

After completing this module, you will be able to:

  • Describe the key elements of a data warehousing solution
  • Describe the key considerations for a data warehousing solution
Module 2: Planning Data Warehouse Infrastructure

This module describes the main hardware considerations for building a data warehouse.

Lessons

  • Considerations for data warehouse infrastructure.
  • Planning data warehouse hardware.

Lab : Planning Data Warehouse Infrastructure

  • Planning data warehouse hardware

After completing this module, you will be able to:

  • Describe the main hardware considerations for building a data warehouse
  • Explain how to use reference architectures and data warehouse appliances to create a data warehouse
Module 3: Designing and Implementing a Data Warehouse

This module describes how you go about designing and implementing a schema for a data warehouse.

Lessons

  • Designing dimension tables
  • Designing fact tables
  • Physical Design for a Data Warehouse

Lab : Implementing a Data Warehouse Schema

  • Implementing a star schema
  • Implementing a snowflake schema
  • Implementing a time dimension table

After completing this module, you will be able to:

  • Implement a logical design for a data warehouse
  • Implement a physical design for a data warehouse
Module 4: Columnstore Indexes

This module introduces Columnstore Indexes.

Lessons

  • Introduction to Columnstore Indexes
  • Creating Columnstore Indexes
  • Working with Columnstore Indexes

Lab : Using Columnstore Indexes

  • Create a Columnstore index on the FactProductInventory table
  • Create a Columnstore index on the FactInternetSales table
  • Create a memory optimized Columnstore table

After completing this module, you will be able to:

  • Create Columnstore indexes
  • Work with Columnstore Indexes
Module 5: Implementing an Azure SQL Data Warehouse

This module describes Azure SQL Data Warehouses and how to implement them.

Lessons

  • 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

Lab : Implementing Indexes

  • Create an Azure SQL data warehouse database
  • Migrate to an Azure SQL Data warehouse database
  • Copy data with the Azure data factory

After completing this module, you will be able to:

  • Describe the advantages of Azure SQL Data Warehouse
  • Implement an Azure SQL Data Warehouse
  • Describe the considerations for developing an Azure SQL Data Warehouse
  • Plan for migrating to Azure SQL Data Warehouse
Module 6: Creating an ETL Solution

At the end of this module you will be able to implement data flow in a SSIS package.

Lessons

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

Lab : Implementing Data Flow in an SSIS Package

  • Exploring source data
  • Transferring data by using a data row task
  • Using transformation components in a data row

After completing this module, you will be able to:

  • Describe ETL with SSIS
  • Explore Source Data
  • Implement a Data Flow
Module 7: Implementing Control Flow in an SSIS Package

This module describes implementing control flow in an SSIS package.

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 checkpoints

After completing this module, you will be able to:

  • Describe control flow
  • Create dynamic packages
  • Use containers
Module 8: Debugging and Troubleshooting SSIS Packages

This module describes how to debug and troubleshoot SSIS packages.

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 data flow

After completing this module, you will be able to:

  • Debug an SSIS package
  • Log SSIS package events
  • Handle 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.

Lessons

  • Introduction to Incremental ETL
  • Extracting Modified Data
  • Loading modified data
  • Temporal Tables

Lab : Extracting Modified Data

  • Using a datetime column to incrementally extract data
  • Using change data capture
  • Using the CDC control task
  • Using change tracking

Lab : Loading a data warehouse

  • Loading data from CDC output tables
  • Using a lookup transformation to insert or update dimension data
  • Implementing a slowly changing dimension
  • Using the merge statement

After completing this module, you will be able to:

  • Describe incremental ETL
  • Extract modified data
  • Load modified data.
  • Describe temporal tables
Module 10: Designing and Implementing User-Defined Functions

This module describes how to implement data cleansing by using Microsoft Data Quality services.

Lessons

  • Introduction to Data Quality
  • 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
  • Using DQS in an SSIS package

Lab : De-duplicating Data

  • Creating a matching policy
  • Using a DS project to match data

After completing this module, you will be able to:

  • Describe data quality services
  • Cleanse data using data quality services
  • Match data using data quality services
  • De-duplicate data using data quality services
Module 11: Using Master Data Services

This module describes how to implement master data services to enforce data integrity at source.

Lessons

  • Introduction to Master Data Services
  • Implementing a Master Data Services Model
  • Hierarchies and collections
  • Creating a Master Data Hub

Lab : Implementing Master Data Services

  • Creating a master data services model
  • Using the master data services add-in for Excel
  • Enforcing business rules
  • Loading data into a model
  • Consuming master data services data

After completing this module, you will be able to:

  • Describe the key concepts of master data services
  • Implement a master data service model
  • Manage master data
  • Create a master data hub
Module 12: Extending SQL Server Integration Services (SSIS)

This module describes how to extend SSIS with custom scripts and components.

Lessons

  • Using scripting in SSIS
  • Using custom components in SSIS

Lab : Using scripts

  • Using a script task

After completing this module, you will be able to:

  • Use custom components in SSIS
  • Use scripting in SSIS
Module 13: Deploying and Configuring SSIS Packages

This module describes how to deploy and configure SSIS packages.

Lessons

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

Lab : Deploying and Configuring SSIS Packages

  • Creating an SSIS catalog
  • Deploying an SSIS project
  • Creating environments for an SSIS solution
  • Running an SSIS package in SQL server management studio
  • Scheduling SSIS packages with SQL server agent

After completing this module, you will be able to:

  • Describe an SSIS deployment
  • Deploy an SSIS package
  • Plan SSIS package execution
Module 14: Consuming Data in a Data Warehouse

This module describes how to debug and troubleshoot SSIS packages.

Lessons

  • Introduction to Business Intelligence
  • An Introduction to Data Analysis
  • Introduction to reporting
  • Analyzing Data with Azure SQL Data Warehouse

Lab : Using a data warehouse

  • Exploring a reporting services report
  • Exploring a PowerPivot workbook
  • Exploring a power view report

After completing this module, you will be able to:

  • Describe at a high level business intelligence
  • Show an understanding of reporting
  • Show an understanding of data analysis
  • Analyze data with Azure SQL data warehouse
Eswaran al K.Ananda Sekran

Eswaran al K.Ananda Sekran

Eswaran has been working in the IT industry since 2000. He has 12 years of involvement in the IT industry with the past 8 years being in IT training. He continuously seeks to update his knowledge with the latest technology developments.

Having worked in various IT and telecommunication companies, has given him a strong foundation in database design, development and applications programming on various platforms. As part of the developers' team in various projects, he was also involved in proposal writing on design solutions to clients. Besides conducting Microsoft related training, he also trains on the various applications developed by the company.

His key specializations lie in database and programming. He has experience in programming using Visual Basic/NET and also has wide knowledge in implementing and designing database using SQL Server.

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Amelia Dillon

Amelia Dillon

Having experienced many years in acquiring skills and knowledge in the related fields, the trainer is among a few of extraordinary trainers in the local training arena. The one thing that makes her a prominent trainer is her knowledge and exposure gathered over many years in IT industry. She is well known to have the ability to enlighten participants by not only leading them towards the subject matter but also by allowing them to relate to the subject matter and at the same time make the process of learning a lot more easier. Over the years, she has developed many training modules and had extended her service to various companies. Some of these modules include the PPSMI manual that was used by the Ministry of Education to train teachers nation-wide on how to use the PPSMI equipment. Read More

Gerald Hoong Seng Kah

Gerald Hoong Seng Kah

Gerald has 19 years of information technology experience and on community service and event experiences, he excels impressively. He was invited as a speaker for 3 break-out sessions for Microsoft TechED SEA 2008 on SQL Server 2008 at Kuala Lumpur Convention Center.

He even participated at the “Ask-The-Expert" booth for Microsoft Visual Studio 2008 and Microsoft SQL Server 2008 at the Heroes Launch 2008 and conducted a Microsoft Visual Studio Team System 2008, formerly code-named “Orcas" Metro workshop for Microsoft Certified Partners and independent software vendors (ISVs).

He was invited as a speaker on various occasions such as during the 2 break-out sessions and 3 instructor-led sessions at Microsoft TechED SEA 2007 on SQL Server 2008 and Office SharePoint Server 2007 respectively at Kuala Lumpur Convention Center. He was also a speaker for an instructor-led session at Microsoft TechEd SEA 2006 on development of web parts using Windows SharePoint Services Version 3.0 at Kuala Lumpur Convention Center.

He conducted a few Microsoft Office 2007 Touchdown workshops for Microsoft Certified Partners and independent software vendors and Microsoft Windows Vista Beta 1 Touchdown workshop and Microsoft Windows Vista Beta 1 Touchdown workshop for Microsoft Certified Partners and ISVs. He also conducted a Microsoft Windows Server code-named “Longhorn" Touchdown workshop and Microsoft Visual Studio Team System workshop for Microsoft Certfied Partners and ISVs.

He was invited as a guest speaker on Microsoft Office 2007 development for the MIND community, which is an active IT community under the helm of Microsoft. He is a committee member of SQL Practitioners Alliance Network (SPAN).

He was the co- speaker and tag team presenter at the recently concluded World SharePoint Conference 2014 at Las Vegas, USA. He was the only Malaysian presenter among the other presenters from Asia.

In March 2014, he participated as co-speaker and tag team presenter at the World SharePoint Conference 2014 at Venetian Hotel and Resorts, Las Vegas, USA.

Recently, he conducted a specialized Microsoft SharePoint training and consultancy for a team of 17 people from Carlsberg Group at Carlsberg & Jacobsen Brewhouse in Copenhagen, Denmark.

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