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Implementing a Data Warehouse with Microsoft SQL Server
Corso
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Descrizione
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Tipologia
Corso
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Metodologia
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Descrivere i concetti di data warehouse e le relative considerazioni architetturali.Selezionare una piattaforma hardware appropriata per un data warehouse.Progettare e implementare un data warehouse.Implementare il flusso dei dati in un pacchetto SSIS.Implementare Flow Control in un pacchetto SSIS.Effettuare il debugging e risolvere i problemi dei pacchetti SSIS.Implementare una soluzione ETL che supporti l'estrazione incrementale dei dati.Implementare una soluzione ETL che supporti il caricamento incrementale dei dati.Implementare la pulizia dei dati utilizzando i servizi Microsoft Data Quality.Implementare i Master Data Services per far rispettare l'integrità dei dati.Estendere SSIS con script e componenti personalizzati.Distribuire e configurare i pacchetti SSIS.Descrivere come le soluzioni di BI possono consumare i dati dal data warehouse.
Profilo del corso
Professionista IT
Questo corso richiede che siano soddisfatti i seguenti prerequisiti:Almeno 2 anni di esperienza di lavoro con i database relazionali, tra cui:Progettazione di un database normalizzato.Creazione di tabelle e relazioni.Interrogazione con Transact-SQL.Esposizione ai costrutti di programmazione di base (come il looping e branching).
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Materie
- Data Warehouse
- E-business
- Informatica per adulti
- SQL
- Microsoft SQL Server
- Information tecnology
- Server
- Data warehouse solution
- Data Extraction Solution
- Cleansing Data
Programma
CONTENUTI:
Module 1: Introduction to Data Warehousing
Overview of Data Warehousing
Considerations for a Data Warehouse Solution
Lab : Exploring a Data Warehousing Solution
Exploring Data Sources
Exploring and ETL Process
Exploring a Data Warehouse
Module 2: Planning Data Warehouse Infrastructure
Considerations for Data Warehouse Infrastructure
Planning Data Warehouse Hardware
Lab : Planning Data Warehouse Infrastructure
Planning Data Warehouse Hardware
Module 3: Designing and Implementing a Data Warehouse
Data Warehouse Design Overview
Designing Dimension Tables
Designing Fact Tables
Physical Design for a Data Warehouse
Lab : Implementing a Data Warehouse
Implement a Star Schema
Implement a Snowflake Schema
Implement a Time Dimension
Module 4: Creating an ETL Solution with SSIS
Introduction to ETL with SSIS
Exploring Data Sources
Implementing Data Flow
Lab : Implementing Data Flow in an SSIS Package
Exploring Data Sources
Transferring Data by Using a Data Flow Task
Using Transformations in a Data Flow
Module 5: Implementing Control Flow in an SSIS Package
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
Module 6: Debugging and Troubleshooting SSIS Packages
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 a Data Flow
Module 7: Implementing a Data Extraction Solution
Planning Data Extraction
Extracting Modified Data
Lab : Extracting Modified Data
Using a Datetime Column
Using Change Data Capture
Using the CDC Control Task
Using Change Tracking
Module 8: Loading Data into a Data Warehouse
Planning Data Loads
Using SSIS for Incremental Loads
Using Transact-SQL Loading Techniques
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
Module 9: Enforcing Data Quality
Introduction to Data Quality
Using Data Quality Services to Cleanse Data
Using Data Quality Services to Cleanse Data
Lab : Cleansing Data
Creating a DQS Knowledge Base
Using a DQS Project to Cleanse Data
Using DQS in an SSIS Package
Module 10: Master Data Services
Introduction to Master Data Services
Implementing a Master Data Services Model
Managing Master Data
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
Module 11: Extending SQL Server Integration Services
Using Scripts in SSIS
Using Custom Components in SSIS
Lab : Using Custom Scripts
Using a Script Task
Module 12: Deploying and Configuring SSIS Packages
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
Running an SSIS Package in SQL Server Management Studio
Scheduling SSIS Packages with SQL Server Agent
Module 13: Consuming Data in a Data Warehouse
Introduction to Business Intelligence
Enterprise Business Intelligence
Self-Service BI and Big Data
Lab : Using a Data Warehouse
Exploring an Enterprise BI Solution
Exploring a Self-Service BI Solution
Ulteriori informazioni
Implementing a Data Warehouse with Microsoft SQL Server