MS-20767B: Implementing a SQL Data Warehouse

Program

Module 1: Introduction to Data Warehousing

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

Module 2: Planning Data Warehouse Infrastructure

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

Module 3: Designing and Implementing a Data Warehouse

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

Module 4: Columnstore Indexes

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

Module 5: Implementing an Azure SQL Data Warehouse

• 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

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

Module 7: 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

• Debugging an SSIS Package
• Logging SSIS Package Events
• Handling Errors in an SSIS Package

Module 9: Implementing a Data Extraction Solution

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

Module 10: Enforcing Data Quality

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

Module 11: Using Master Data Services

• 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)

• Using scripting in SSIS
• Using custom components in SSIS

Module 13: Deploying and Configuring SSIS Packages

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

Module 14: Consuming Data in a Data Warehouse

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

Dla kogo

Jeżeli chcesz poznać od podstaw metodologię tworzenia hurtowni danych w oparciu o MS SQL to szkolenie jest dla Ciebie

Wymagania wstępne

• Znajomość środowiska MS SQL i struktury relacyjnych baz danych
• Podstawowa znajomość środowiska Windows Server

Czas trwania

5 dni – 40 godzin warsztatów w formie wykładu multimedialnego i ćwiczeń realizowanych na dedykowanych do szkolenia maszynach wirtualnych

W ramach uczestnictwa zapewniamy

• Certyfikat ukończenia szkolenia
• Autoryzowane materiały szkoleniowe
• Trener MCT
• catering podczas przerw (kawa, herbata, ciastka)
• lunch