SQL Server Integración Servicios (55321)

Duración: 35 horas.
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A quien va dirigido

bases de datos que necesitan cumplir un rol de desarrollador de Inteligencia de Negocios. Deberán centrarse en el trabajo práctico creando soluciones de BI, incluida la implementación de Data Warehouse, ETL y limpieza de datos.

Descripción

SQL Server Integration Services es el equivalente del curso MOC heredado retirado 20767CC - Implementación de un almacenamiento de datos SQL. Este curso de cinco días dirigido por un instructor está dirigido a profesionales de TI que necesitan aprender a usar SSIS para crear, implementar, mantener y proteger proyectos y paquetes de Integration Services, y para usar SSIS para extraer, tr…

A quien va dirigido

bases de datos que necesitan cumplir un rol de desarrollador de Inteligencia de Negocios. Deberán centrarse en el trabajo práctico creando soluciones de BI, incluida la implementación de Data Warehouse, ETL y limpieza de datos.

Descripción

SQL Server Integration Services es el equivalente del curso MOC heredado retirado 20767CC - Implementación de un almacenamiento de datos SQL. Este curso de cinco días dirigido por un instructor está dirigido a profesionales de TI que necesitan aprender a usar SSIS para crear, implementar, mantener y proteger proyectos y paquetes de Integration Services, y para usar SSIS para extraer, transformar y cargar datos hacia y desde SQL Server. Este curso es similar al curso retirado 20767-C: Implementación de un almacén de datos SQL, pero se centra más en la creación de paquetes, en lugar de en todo el diseño e implementación del almacén de datos.

Este curso de cinco días dirigido por un instructor está dirigido a profesionales de TI que necesitan aprender a usar SSIS para crear, implementar, mantener y proteger proyectos y paquetes de Integration Services, y para usar SSIS para extraer, transformar y cargar datos hacia y desde SQL Server.

Este curso es similar al curso retirado 20767-C: Implementación de un almacén de datos SQL, pero se centra más en la creación de paquetes, en lugar de en todo el diseño e implementación del almacén de datos.

  • Cree paquetes SSIS sofisticados para extraer, transformar y cargar datos
  • Utilice contenedores para controlar de manera eficiente las tareas y transacciones repetitivas
  • Configurar paquetes para que se adapten dinámicamente a los cambios del entorno
  • Usar los servicios de calidad de datos para limpiar los datos
  • Solucionar correctamente los paquetes
  • Crear y administrar el catálogo de SSIS
  • Implementar, configurar y programar paquetes
  • Proteger el catálogo de SSIS
  • El conocimiento práctico de los trabajos de T-SQL y del Agente SQL Server es útil, pero no obligatorio.
  • Conocimientos básicos del sistema operativo Microsoft Windows y su funcionalidad principal.
  • Conocimiento práctico de bases de datos relacionales.
  • Algo de experiencia con el diseño de bases de datos.

This module explains the purpose of SSIS and teaches how to use the Import/Export Wizard to exchange data between data structures.

  • Import/Export Wizard
  • Exporting Data with the Wizard
  • Common Import Concerns
  • Quality Checking Imported/Exported Data
  • Use the Import/Export Wizard from SSMS
  • Export data with the wizard.
  • Import data with the wizared.
  • Do a quality check on imported and exported data.

In this module, students learn to work with SQL Server Data Tools (SSDT) to design and deploy reports.

  • Working with SQL Server Data Tools
  • Understanding Solutions and Projects
  • Working with the Visual Studio Interface
  • Import and run a package in SSDT-BI
  • Work with SQL Server Data Tools.
  • Understand solutions and projects.
  • Work with the Visual Studio interface.

The Control Flow tab of the SSIS Designer is used to organize the general flow of your package execution. The control flow of a package includes different element types, such as tasks, containers, and precedence constraints. Each of these element types has a set of properties that you will use to define and manage individual instances of these elements. In this module, students learn to add containers or tasks from the SSIS Toolbox to the Control Flow Designer.

  • Working with Tasks
  • Understanding Precedence Constraints
  • Annotating Packages
  • Grouping Tasks
  • Package and Task Properties
  • Connection Managers
  • Favorite Tasks
  • Precedence Constraints and Execute SQL Task
  • Understand the control flow.
  • Work with tasks.
  • Understand precedence constraints.
  • Annotate packages.
  • Group tasks.
  • Work with package and task properties.
  • Work with connection managers.

Microsoft has organized the tasks in the Common section of the SSIS Toolbox alphabetically. This module will touch on the functionality of each of these tasks, and provide Try It exercises for the tasks that are most commonly seen in classes and companies.

  • Analysis Services Processing
  • Data Profiling Task
  • Execute Package Task
  • Execute Process Task
  • Expression Task
  • File System Task
  • FTP Task
  • Hadoop Task
  • Script Task Introduction
  • Send Mail Task
  • Web Service Task
  • XML Task
  • Create a package to copy a file and send an email message on completion
  • Create a package to perform data profiling and then review the results
  • Create a master package and test the execution flow of the child packages
  • Work with Analysis Services processing.
  • Insert tasks in bulk.
  • Use the Data Profiling task.
  • Use the Execute Package task.
  • Use the Execute Process task.
  • Use the Expression task.
  • Use the File System task.
  • Use the FTP task.
  • Use the Hadoop tasks.
  • Use the Script task Introduction.
  • Use the Send Mail task.
  • Use the Web Service task.
  • Use the XML task.

In this module, students will learn to work with data flow sources and destinations.

  • The Data Flow Task
  • The Data Flow SSIS Toolbox
  • Working with Data Sources
  • SSIS Data Sources
  • Working with Data Destinations
  • SSIS Data Destinations
  • Working with Data Sources and Destinations
  • Use the Data Flow Task.
  • Use the Data Flow SSIS Toolbox.
  • Work with Data Sources.
  • Work with Data Destinations.
  • Understand SSIS Data Destinations.

In this module, students learn about transformations, which allow you to modify data in the data flow pipeline.

  • Transformations
  • Configuring Transformations
  • Working with Derived Column Transformations
  • Working with Lookup Transformations
  • Working with Derived Column Transformations
  • Working with Lookup Transformations

In this module, students will learn to make SSIS packages dynamic.

  • Features for Making Packages Dynamic
  • Package Parameters
  • Project Parameters
  • Variables
  • SQL Parameters
  • Expressions in Tasks
  • Expressions in Connection Managers
  • After Deployment
  • How It All Fits Together
  • Making a Package Dynamic
  • Understand the features for making packages dynamic.
  • Use package parameters.
  • Use project parameters.
  • Use variables.
  • Use sql parameters.
  • Use expressions in tasks.
  • Use expressions in connection managers.
  • Understand how it all fits together.

In this module, students learn to use containers, which provide a way to organize tasks that need to be managed together as a group.

  • Sequence Containers
  • For Loop Containers
  • Foreach Loop Containers
  • Use a Foreach Loop container to send a custom email to the names found in a database view
  • Work with containers.
  • Sequence containers.
  • Use For Loop containers.
  • Use Foreach Loop containers.

This module puts together common troubleshooting methods along with some of the reliability features for SSIS all in one place.

  • Understanding MaximumErrorCount
  • Breakpoints
  • Redirecting Error Rows
  • Logging
  • Event Handlers
  • Using Checkpoints
  • Transactions
  • Creating a Script Task to Merge Error Messages
  • Configure a package to use transactions
  • Understand MaximumErrorCount.
  • Work with breakpoints.
  • Redirect Error Rows.
  • Use Logging.
  • Use Event Handlers.
  • Use Checkpoints.
  • Use Transactions.

The project deployment model provides the framework for new functionality such as the SSIS catalog, environments, project level parameters and project level connection managers. This module explains how to deploy projects to the SSIS catalog.

  • The SSIS Catalog
  • Deploying Projects
  • Working with Environments
  • Executing Packages in SSMS
  • Executing Packages from the Command Line
  • Deployment Model Differences
  • Deploying a Project to the SSIS Catalog
  • Manually executing a Package
  • Understand SSIS deployment and the SSIS catalog.
  • Deploy Projects.
  • Work with Environments.
  • Execute packages in SSMS.
  • Execute packages from the command line.

In this module, students will learn to install, upgrade, and administer SSIS.

  • Installing SSIS
  • Upgrading SSIS
  • Managing the SSIS Catalog
  • Viewing Built-in SSIS Reports
  • Managing SSIS Logging and Operation Histories
  • Automating Package Execution
  • Automating Package Execution
  • To install SSIS.
  • To upgrade SSIS.
  • To manage the SSIS catalog.
  • To view built-in SSIS reports.
  • To manage SSIS logging and operation histories.
  • To automate package execution.

In addition to the standard SQL Server database and instance permissions that can be configured like any other database, the SSIS catalog has special pre-defined database roles and additional permissions that can be assigned for the management and execution of SSIS packages. In this module, students learn to work with roles and permissions to secure the SSIS catalog.

  • Principals
  • Securables
  • Grantable Permissions
  • Granting Permissions
  • Configuring Proxy Accounts
  • Securing the SSIS Catalog
  • Understand principals.
  • Understand securables
  • Grant Permissions.
  • Configure proxy accounts.