Implementing a SQL Data Warehouse Course 20767

5 Days

Description

About this course

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.

Audience profile

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. 

At course completion

After completing this course, students will be able to:

  • Provision a Database Server.

  • Upgrade SQL Server.

  • Configure SQL Server.

  • Manage Databases and Files (shared).

Upcoming Classes

Virtual Classroom Live
October 23, 2017

$2,295.00
5 Days    10:00am EST - 5:00pm EST
view class details and enroll
Classroom Live
November 27, 2017

Eagan-KTCS, MN
$2,295.00
5 Days    9:00am - 5:00pm
view class details and enroll
Virtual Classroom Live
November 27, 2017

$2,295.00
5 Days    10:00am EST - 5:00pm EST
view class details and enroll
Virtual Classroom Live
January 22, 2018

$2,295.00
5 Days    10:00am EST - 5:00pm EST
view class details and enroll
Virtual Classroom Live
February 19, 2018

$2,295.00
5 Days    10:00am EST - 5:00pm EST
view class details and enroll
Classroom Live
February 19, 2018

Eagan-KTCS, MN
$2,295.00
5 Days    10:00am EST - 5:00pm EST
view class details and enroll
Classroom Live
July 05, 2018

On-Demand
$895.00
5 Days    9:00am - 5:00pm
view class details and enroll
Private Training Available
No date scheduled, don’t see a date that works for you or looking for a private training event, please call 651-905-3729 or submit a request for further information here.
request a private session or new date

Course Overview

  • 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 an Azure SQL Data Warehouse
      • 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: Enforcing Data Quality
  • 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

Upcoming Classes

Virtual Classroom Live
October 23, 2017

$2,295.00
5 Days    10:00am EST - 5:00pm EST
view class details and enroll
Classroom Live
November 27, 2017

Eagan-KTCS, MN
$2,295.00
5 Days    9:00am - 5:00pm
view class details and enroll
Virtual Classroom Live
November 27, 2017

$2,295.00
5 Days    10:00am EST - 5:00pm EST
view class details and enroll
Virtual Classroom Live
January 22, 2018

$2,295.00
5 Days    10:00am EST - 5:00pm EST
view class details and enroll
Virtual Classroom Live
February 19, 2018

$2,295.00
5 Days    10:00am EST - 5:00pm EST
view class details and enroll
Classroom Live
February 19, 2018

Eagan-KTCS, MN
$2,295.00
5 Days    10:00am EST - 5:00pm EST
view class details and enroll
Classroom Live
July 05, 2018

On-Demand
$895.00
5 Days    9:00am - 5:00pm
view class details and enroll
Private Training Available
No date scheduled, don’t see a date that works for you or looking for a private training event, please call 651-905-3729 or submit a request for further information here.
request a private session or new date

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.

Upcoming Classes

Virtual Classroom Live
October 23, 2017

$2,295.00
5 Days    10:00am EST - 5:00pm EST
view class details and enroll
Classroom Live
November 27, 2017

Eagan-KTCS, MN
$2,295.00
5 Days    9:00am - 5:00pm
view class details and enroll
Virtual Classroom Live
November 27, 2017

$2,295.00
5 Days    10:00am EST - 5:00pm EST
view class details and enroll
Virtual Classroom Live
January 22, 2018

$2,295.00
5 Days    10:00am EST - 5:00pm EST
view class details and enroll
Virtual Classroom Live
February 19, 2018

$2,295.00
5 Days    10:00am EST - 5:00pm EST
view class details and enroll
Classroom Live
February 19, 2018

Eagan-KTCS, MN
$2,295.00
5 Days    10:00am EST - 5:00pm EST
view class details and enroll
Classroom Live
July 05, 2018

On-Demand
$895.00
5 Days    9:00am - 5:00pm
view class details and enroll
Private Training Available
No date scheduled, don’t see a date that works for you or looking for a private training event, please call 651-905-3729 or submit a request for further information here.
request a private session or new date

Course Comments

Now Available in MOC On-Demand

As a Microsoft Certified Managed Partner, KTCS is excited to be among the first to offer this new learning product and delivery option. Enroll in our Self Paced option above to being your MOC On-Demand Training.

What is MOC On-Demand Training?

MOC On-Demand is an IT training solution designed around your schedule, budget, and learning needs. With MOC On-Demand, you can grow your knowledge and understanding of technical subjects and Microsoft technologies at a time and place that is convenient for you. MOC On-Demand combines high-quality video, reading, live hands-on labs and knowledge checks in a self-paced format to help you build skills on Microsoft technologies as your schedule allows—all at once or five minutes at a time. The modular, self-directed course structure adapts to your learning needs and learning style.

Want more information? Call us 8664446548

Upcoming Classes

Virtual Classroom Live
October 23, 2017

$2,295.00
5 Days    10:00am EST - 5:00pm EST
view class details and enroll
Classroom Live
November 27, 2017

Eagan-KTCS, MN
$2,295.00
5 Days    9:00am - 5:00pm
view class details and enroll
Virtual Classroom Live
November 27, 2017

$2,295.00
5 Days    10:00am EST - 5:00pm EST
view class details and enroll
Virtual Classroom Live
January 22, 2018

$2,295.00
5 Days    10:00am EST - 5:00pm EST
view class details and enroll
Virtual Classroom Live
February 19, 2018

$2,295.00
5 Days    10:00am EST - 5:00pm EST
view class details and enroll
Classroom Live
February 19, 2018

Eagan-KTCS, MN
$2,295.00
5 Days    10:00am EST - 5:00pm EST
view class details and enroll
Classroom Live
July 05, 2018

On-Demand
$895.00
5 Days    9:00am - 5:00pm
view class details and enroll
Private Training Available
No date scheduled, don’t see a date that works for you or looking for a private training event, please call 651-905-3729 or submit a request for further information here.
request a private session or new date