55321 SQL Server Integration Services kursus

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Business Intelligence
Integration Services SSIS
55321 SQL Server Integration Services kursus

Kursusmål

This five-day instructor-led course is intended for IT professionals who need to learn how to use SSIS to build, deploy, maintain, and secure Integration Services projects and packages, and to use SSIS to extract, transform, and load data to and from SQL Server.

This course is similar to the retired Course 20767-C: Implementing a SQL Data Warehouse but focuses more on building packages, rather than the entire data warehouse design and implementation.

Deltagere

The primary audience for this course is database professionals who need to fulfil a Business Intelligence Developer role. They will need to focus on hands-on work creating BI solutions including Data Warehouse implementation, ETL, and data cleansing.

At Course Completion

Create sophisticated SSIS packages for extracting, transforming, and loading data
Use containers to efficiently control repetitive tasks and transactions
Configure packages to dynamically adapt to environment changes
Use Data Quality Services to cleanse data
Successfully troubleshoot packages
Create and Manage the SSIS Catalog
Deploy, configure, and schedule packages
Secure the SSIS Catalog

Prerequisites

Working knowledge of T-SQL and SQL Server Agent jobs is helpful, but not required.
Basic knowledge of the Microsoft Windows operating system and its core functionality.
Working knowledge of relational databases.
Some experience with database design.

Kursusmateriale

Før kurset

Mulighed for at tale med en instruktør, der kan hjælpe dig med at finde det helt rigtige kursus.

På kurset

Undervisning af Danmarks mest erfarne instruktørteam i hyggelige og fuldt opdaterede kursuslokaler i centrum af København.
Et kursus bestående af en vekslen mellem teori og praktiske øvelser. Vi ved, hvor vigtigt det er, at du får tid til at arbejde med opgaverne i praksis, og derfor har vi altid fokus på hands-on i undervisningen.
Et kursusmateriale, som du efterfølgende kan bruge som opslagsværk samt et opgavesæt, der understøtter kurset.
Fuld forplejning, som inkluderer morgenmad, friskbrygget kaffe, te, frugt, sodavand, frokost på en italiensk restaurant på Gråbrødretorv, kage, slik, og naturligvis Wi-Fi til dine devices.
Et kursuscertifikat med bevis på dine nye kvalifikationer.

Efter kurset

Adgang til vores gratis hotline, som betyder, at du op til et år efter kurset kan ringe eller skrive til os, hvis du har spørgsmål til de emner, der er blevet gennemgået på kurset.
Vores unikke tilfredshedsgaranti, som er din tryghed for at få fuldt udbytte af dit kursus.

Kurset bliver afholdt på dansk, men vi benytter Microsofts digitale materiale (DMOC), som er på engelsk.

Du vil efterfølgende have adgang til materialet både online og lokalt. I tilfælde af at Microsoft laver en ny version af kursusmaterialet, vil du automatisk få adgang til det. Derudover vil du have adgang til øvelser via Microsoft Labs Online i 180 dage i alt, og du kan derfor fortsætte eller starte forfra på en øvelse hjemmefra, under eller efter kurset, alt efter behov.materialet både online og lokalt. I tilfælde af at Microsoft laver en ny version af kursusmaterialet, vil du automatisk få adgang til det

Kursusindhold

Module 1: SSIS Overview

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

Lessons

Import/Export Wizard
Exporting Data with the Wizard
Common Import Concerns
Quality Checking Imported/Exported Data

Lab 1: SSIS Overview

Use the Import/Export Wizard from SSMS

After completing this module, students will be able to:

Export data with the wizard.
Import data with the wizared.
Do a quality check on imported and exported data.

Module 2: Working with Solutions and Projects

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

Lessons

Working with SQL Server Data Tools
Understanding Solutions and Projects
Working with the Visual Studio Interface

Lab 1: Working with Solutions and Projects

Import and run a package in SSDT-BI

After completing this module, students will be able to:

Work with SQL Server Data Tools.
Understand solutions and projects.
Work with the Visual Studio interface.

Module 3: Basic Control Flow

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.

Lessons

Working with Tasks
Understanding Precedence Constraints
Annotating Packages
Grouping Tasks
Package and Task Properties
Connection Managers
Favorite Tasks

Lab 1: Basic Control Flow

Precedence Constraints and Execute SQL Task

After completing this module, students will be able to:

Understand the control flow.
Work with tasks.
Understand precedence constraints.
Annotate packages.
Group tasks.
Work with package and task properties.
Work with connection managers.

Module 4: Common Tasks

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.

Lessons

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

Lab 1: Common Tasks

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

After completing this module, students will be able to:

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.

Module 5: Data Flow Sources and Destinations

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

Lessons

The Data Flow Task
The Data Flow SSIS Toolbox
Working with Data Sources
SSIS Data Sources
Working with Data Destinations
SSIS Data Destinations

Lab 1: Data Flow Sources and Destinations

Working with Data Sources and Destinations

After completing this module, students will be able to:

Use the Data Flow Task.
Use the Data Flow SSIS Toolbox.
Work with Data Sources.
Work with Data Destinations.
Understand SSIS Data Destinations.
Module 6: Data Flow Transformations
In this module, students learn about transformations, which allow you to modify data in the data flow pipeline.

Lessons

Transformations
Configuring Transformations

Lab 1: Data Flow Transformations

Working with Derived Column Transformations
Working with Lookup Transformations
After completing this module, students will be able to:
Working with Derived Column Transformations
Working with Lookup Transformations

Module 7: Making Packages Dynamic

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

Lessons

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

Lab 1: Making Packages Dynamic

Making a Package Dynamic

After completing this module, students will be able to:

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.

Module 8: Containers

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

Lessons

Sequence Containers
For Loop Containers
Foreach Loop Containers

Lab 1: Containers

Use a Foreach Loop container to send a custom email to the names found in a database view

After completing this module, students will be able to:

Work with containers.
Sequence containers.
Use For Loop containers.
Use Foreach Loop containers.

Module 9: Troubleshooting and Package Reliability

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

Lessons

Understanding MaximumErrorCount
Breakpoints
Redirecting Error Rows
Logging
Event Handlers
Using Checkpoints
Transactions

Lab 1: Troubleshooting and Package Reliability

Creating a Script Task to Merge Error Messages
Configure a package to use transactions

After completing this module, students will be able to:

Understand MaximumErrorCount.
Work with breakpoints.
Redirect Error Rows.
Use Logging.
Use Event Handlers.
Use Checkpoints.
Use Transactions.

Module 10: Deploying to the SSIS Catalog

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.

Lessons

The SSIS Catalog
Deploying Projects
Working with Environments
Executing Packages in SSMS
Executing Packages from the Command Line
Deployment Model Differences

Lab 1: Deploying to the SSIS Catalog

Deploying a Project to the SSIS Catalog
Manually executing a Package

After completing this module, students will be able to:

Understand SSIS deployment and the SSIS catalog.
Deploy Projects.
Work with Environments.
Execute packages in SSMS.
Execute packages from the command line.

Module 11: Installing and Administering SSIS

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

Lessons

Installing SSIS
Upgrading SSIS
Managing the SSIS Catalog
Viewing Built-in SSIS Reports
Managing SSIS Logging and Operation Histories
Automating Package Execution

Lab 1: Installing and Administering SSIS

Automating Package Execution

After completing this module, students will be able to:

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.

Module 12: Securing the SSIS Catalog

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.

Lessons