Curso Implementando um Data Warehouse SQL

Curso Implementando um Data Warehouse SQL

Curso Implementando um Data Warehouse SQL

Curso 20767C:

Visão Geral:
Este Curso Implementando um Data Warehouse SQL proporciona aos alunos o conhecimento e as habilidades para provisionar um banco de dados do Microsoft SQL Server.
O curso abrange a disposição do SQL Server no local e em Azure e abrange que instalação a partir de novas instalações e a migração de uma instalação existente.

Público Alvo:
Curso Implementando um Data Warehouse SQL
Todo os profissionais de banco de dados que precisam preencher uma função de Desenvolvedor de Business Intelligence.
Eles precisarão se concentrar no trabalho prático, criando soluções de BI, incluindo implementação de Data Warehouse, ETL e limpeza de dados.

Após realizar este curso:

Curso Implementando um Data Warehouse SQL
Os alunos serão capazes de:
• Descrever os principais elementos de uma solução de data warehousing
• Descrever as principais considerações de hardware para construir um data warehouse
• Implemente um desenho lógico para um data warehouse
• Implementar um sesenho físico para um data warehouse
• Crie índices columnstore
• Implementando um Data Warehouse SQL Azure
• Descrever os principais recursos do SSIS
• Implementar um fluxo de dados usando o SSIS
• Implementar o fluxo de controle usando tarefas e restrições de precedência
• Crie pacotes dinâmicos que incluem variáveis e parâmetros
• Depurar pacotes do SSIS
• Descrever as considerações para implementar uma solução de ETL
• Implementar serviços de qualidade de dados
• Implementar um modelo de Master Data Services
• Descrever como você pode usar componentes personalizados para estender o SSIS
• Implantar projetos do SSIS
• Descrever BI e cenários comuns de BI

Informações do Curso
Curso Implementando um Data Warehouse SQL
• Carga 32:Horas,
• Aos Sábados das 09:00 as 18:00
• Curso Presencial

Pré-Requisito:
Curso Implementando um Data Warehouse SQL
• Conhecimento básico do sistema operacional Microsoft Windows e suas principais funcionalidades.
• Conhecimento prático de bancos de dados relacionais.
• Alguma experiência com design de banco de dados.

Conteúdo Programático:

Curso Implementando um Data Warehouse SQL

1: Introduction to Data Warehousing
• 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

2: Planning Data Warehouse Infrastructure
Curso Implementando um Data Warehouse SQL
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

3: Designing and Implementing a Data Warehouse
Curso Implementando um Data Warehouse SQL
This module describes how you go about designing and implementing a schema for a data warehouse.
Lessons
• Data warehouse design overview
• 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

4: Columnstore Indexes

Curso Implementando um Data Warehouse SQL
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

5: Implementing an Azure SQL Data Warehouse

Curso Implementando um Data Warehouse SQL

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
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

7: Implementing Control Flow in an SSIS Package

Curso Implementando um Data Warehouse SQL

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

8: Debugging and Troubleshooting 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

9: Implementing a Data Extraction Solution
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

10: Enforcing Data Quality

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

11: Using Master Data Services
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

12: Extending SQL Server Integration Services (SSIS)
Lessons
• Using scripting in SSIS
• Using custom components in SSIS

Lab : Using scripts
• Using a script task

13: Deploying and Configuring 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 agente

14: Consuming Data in a Data Warehouse
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
Curso Implementando um Data Warehouse SQL