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Implementing a SQL Data Warehouse  Course

Implementing a SQL Data Warehouse Training Course


Course Description:

Training Dates
(Click on the course name below to view course details and full list of class dates)

Implementing a SQL Data Warehouse
Locations: Available Nationwide and Online
Class Date(s): 4/1/19 - 4/5/19
Course Fee : $2795


Implementing a SQL Data Warehouse
Locations: Available Nationwide and Online
Class Date(s): 4/29/19 - 5/3/19
Course Fee : $2795


Implementing a SQL Data Warehouse
Locations: Available Nationwide and Online
Class Date(s): 6/3/19 - 6/7/19
Course Fee : $2795


Implementing a SQL Data Warehouse
Locations: Available Nationwide and Online
Class Date(s): 7/8/19 - 7/12/19
Course Fee : $2795


Implementing a SQL Data Warehouse
Locations: Available Nationwide and Online
Class Date(s): 8/5/19 - 8/9/19
Course Fee : $2795


Implementing a SQL Data Warehouse
Locations: Available Nationwide and Online
Class Date(s): 9/9/19 - 9/13/19
Course Fee : $2795


Implementing a SQL Data Warehouse
Locations: Available Nationwide and Online
Class Date(s): 10/7/19 - 10/11/19
Course Fee : $2795


Implementing a SQL Data Warehouse
Locations: Available Nationwide and Online
Class Date(s): 11/4/19 - 11/8/19
Course Fee : $2795


Course Syllabus

Section 1: Introduction to Data Warehousing
Describe data warehouse concepts and architecture considerations.

Topics :
Overview of Data Warehousing
Considerations for a Data Warehouse Solution

Lab :
Exploring a Data Warehouse Solution

Section 2: Planning Data Warehouse Infrastructure
This section describes the main hardware considerations for building a data warehouse.

Topics :
Considerations for Building a Data Warehouse
Data Warehouse Reference Architectures and Appliances

Lab :
Planning Data Warehouse Infrastructure

Section 3: Designing and Implementing a Data Warehouse
This section describes how you go about designing and implementing a schema for a data warehouse.

Topics :
Logical Design for a Data Warehouse
Physical Design for a Data Warehouse

Lab :
Implementing a Data Warehouse Schema

Section 4: Columnstore Indexes
This section introduces Columnstore Indexes.

Topics :
Introduction to Columnstore Indexes
Creating Columnstore Indexes
Working with Columnstore Indexes

Lab :
Using Columnstore Indexes

Section 5: Implementing an Azure SQL Data Warehouse
This section describes Azure SQL Data Warehouses and how to implement them.

Topics :
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

Lab :
Implementing an Azure SQL Data Warehouse

Section 6: Creating an ETL Solution
At the end of This section you will be able to implement data flow in a SSIS package.

Topics :
Introduction to ETL with SSIS
Exploring Source Data
Implementing Data Flow

Lab :
Implementing Data Flow in an SSIS Package

Section 7: Implementing Control Flow in an SSIS Package
This section describes implementing control flow in an SSIS package.

Topics :
Introduction to Control Flow
Creating Dynamic Packages
Using Containers

Lab :
Implementing Control Flow in an SSIS Package

Lab :
Using Transactions and Checkpoints

Section 8: Debugging and Troubleshooting SSIS Packages
This section describes how to debug and troubleshoot SSIS packages.

Topics :
Debugging an SSIS Package
Logging SSIS Package Events
Handling Errors in an SSIS Package

Lab :
Debugging and Troubleshooting an SSIS Package

Section 9: Implementing an Incremental ETL Process
This section describes how to implement an SSIS solution that supports incremental DW loads and changing data.

Topics :
Introduction to Incremental ETL
Extracting Modified Data
Temporal Tables

Lab :
Extracting Modified Data

Lab :
Loading Incremental Changes

Section 10: Enforcing Data Quality
This section describes how to implement data cleansing by using Microsoft Data Quality services.

Topics :
Introduction to Data Quality
Using Data Quality Services to Cleanse Data
Using Data Quality Services to Match Data

Lab :
Cleansing Data

Lab :
De-duplicating Data

Section 11: Using Master Data Services
This section describes how to implement master data services to enforce data integrity at source.

Topics :
Master Data Services Concepts
Implementing a Master Data Services Model
Managing Master Data
Creating a Master Data Hub

Lab :
Implementing Master Data Services

Section 12: Extending SQL Server Integration Services (SSIS)
This section describes how to extend SSIS with custom scripts and components.

Topics :
Using Custom Components in SSIS
Using Scripting in SSIS

Lab :
Using Scripts and Custom Components

Section 13: Deploying and Configuring SSIS Packages
This section describes how to deploy and configure SSIS packages.

Topics :
Overview of SSIS Deployment
Deploying SSIS Projects
Planning SSIS Package Execution

Lab :
Deploying and Configuring SSIS Packages

Section 14: Consuming Data in a Data Warehouse
This section describes how to debug and troubleshoot SSIS packages.

Topics :
Introduction to Business Intelligence
Introduction to Reporting
An Introduction to Data Analysis
Analyzing Data with Azure SQL Data Warehouse

Lab :
Using Business Intelligence Tools

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