55321 SQL Server Integration Services

Price
$2,975.00
Duration
 5 Days
Delivery Methods
 VILT    Private Group
Eligible UT Programs: Learning Credits, Coupons, Technical Training Pass, Training Passport

SQL Server Integration Services is the Community Courseware version of 20767CC Implementing a SQL Data Warehouse. 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.

 

Upcoming Class Dates and Times

Dec 19  - Dec 23, 2022
8:00AM - 4:00PM Central
5 Days
Virtual Instructor Led
 GTR
Mar 20  - Mar 24, 2023
8:00AM - 4:00PM Central
5 Days
Virtual Instructor Led
 GTR
Jun 19  - Jun 23, 2023
8:00AM - 4:00PM Central
5 Days
Virtual Instructor Led
 GTR

Who Should Attend

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.

Course Objectives

  • 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

Agenda

1 - SSIS Overview
  • Import/Export Wizard
  • Exporting Data with the Wizard
  • Common Import Concerns
  • Quality Checking Imported/Exported Data
2 - Working with Solutions and Projects
  • Working with SQL Server Data Tools
  • Understanding Solutions and Projects
  • Working with the Visual Studio Interface
3 - Basic Control Flow
  • Working with Tasks
  • Understanding Precedence Constraints
  • Annotating Packages
  • Grouping Tasks
  • Package and Task Properties
  • Connection Managers
  • Favorite Tasks
4 - Common Tasks
  • 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
5 - 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
6 - Data Flow Transformations
  • Transformations
  • Configuring Transformations
7 - Making 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
8 - Containers
  • Sequence Containers
  • For Loop Containers
  • Foreach Loop Containers
9 - Troubleshooting and Package Reliability
  • Understanding MaximumErrorCount
  • Breakpoints
  • Redirecting Error Rows
  • Logging
  • Event Handlers
  • Using Checkpoints
  • Transactions
10 - Deploying 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
11 - Installing and Administering SSIS
  • Installing SSIS
  • Upgrading SSIS
  • Managing the SSIS Catalog
  • Viewing Built-in SSIS Reports
  • Managing SSIS Logging and Operation Histories
  • Automating Package Execution
12 - Securing the SSIS Catalog
  • Principals
  • Securables
  • Grantable Permissions
  • Granting Permissions
  • Configuring Proxy Accounts

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.
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