MS-20767B: Implementing a SQL Data Warehouse
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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
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Dla kogo
Jeżeli chcesz poznać od podstaw metodologię tworzenia hurtowni danych w oparciu o MS SQL to szkolenie jest dla Ciebie
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Wymagania wstępne
- Znajomość środowiska MS SQL i struktury relacyjnych baz danych
- Podstawowa znajomość środowiska Windows Server
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Czas trwania
5 dni – 40 godzin warsztatów w formie wykładu multimedialnego i ćwiczeń realizowanych na dedykowanych do szkolenia maszynach wirtualnych
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W ramach uczestnictwa zapewniamy
- Certyfikat ukończenia szkolenia
- Autoryzowane materiały szkoleniowe
- Trener MCT
- catering podczas przerw (kawa, herbata, ciastka)
- lunch