(SSIS) SQL Server Integration Services


Course Facts

  • 3 day course
  • Our Trainers are Authorised Professionals
  • Live Online or Classroom-based
  • Certificate of completion
  • Maximum class size of 6 for scheduled courses
  • Unlimited support after your course
  • Courses at all levels: Introduction, Intermediate, Advanced and Masterclasses

Course Outline

  • Introduction to SQL Server Integration Services (SSIS)
  • The SSIS Tools
  • SSIS Tasks
  • The Data Flow
  • Using Variables, Parameters and Expressions
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Overview

Delegates attending this course will have requirements to implement SQL Server Integration Services (SSIS) to export and import data between mixed data sources, catering for simple exchanges and more complex requirements involving transformation of data before it reaches its destination (such as in the cases of loading a Data Warehouse). The course covers all versions of SSIS from SQL Server 2012 to SQL Server 2017. It helps to prepare delegates for the Microsoft 70-463 exam: Implementing a Data Warehouse with Microsoft SQL Server 2012/2014. The course is suitable for delegates working with all versions of SQL Server from SQL Server 2008 through to SQL Server 2016.
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Course Outline

Introduction to SQL Server Integration Services (SSIS)

  • QL Server SSIS Historical Overview
  • SIS Architecture
  • Editions of SQL Server

The SSIS Tools

  • Import and Export Wizard
  • SQL Server Data Tools (SSDT) Versions 2012 to 2017
  • The Visual Studio Development Environment
  • The SSIS Package Designer
  • Management Studio

SSIS Tasks

  • SSIS Task Objects: Task Editor and Expressions
  • Looping and Sequence Tasks
  • Script Task (.NET)
  • Analysis Services Tasks
  • Data Flow Tasks
  • Data Preparation Tasks: Data Profiler, File System, Archiving, FTP, Web Service, XML
  • RDBMS Server Tasks: Bulk Insert Execute SQL
  • Workflow Tasks: Execute Package, Execute Process, Send Mail, WMI
  • SMO Administration Tasks: Database Object Transfer

The Data Flow

  • Understanding the Data Flow
  • Data Viewers
  • Data Sources: OLE DB, Excel, Flat File, Raw, XML, ADO.NET
  • Data Destinations: Excel, Flat File, OLE DB, Raw, Recordset, Data Mining Model Training, DataReader, Dimension and Partition Processing
  • Common Transformations: Including Aggregate, Conditional Split, Data Conversion, Derived Column, Lookup, Script Component, Sort, Union All
  • Other Transformations: Including Audit, Copy Column, DQS Cleansing, Export and Import Column, Merge, Merge Join, Multicast
  • Data Flow Example

Using Variables, Parameters and Expressions

  • Dynamic Package Objects: Variables, parameters and Expressions
  • Understanding Data Types
  • Using Variables and Parameters
  • Working With Expressions and Expression Builder
  • Operators and Functions

Containers

  • Task Host Containers
  • Sequence Containers
  • Groups
  • For Loop Container
  • Foreach Loop Container

Joining Data

  • The Lookup Transformation
  • The Merge Join Transformation
  • Contrasting SSIS and Relational Join
  • Using the Lookup Transformation
  • Cache Connection manager and Cache Transform

Creating A Data Cleansing Package

  • Creating Connections
  • Creating Control Flow
  • Creating Data Flow
  • Handling Dirty Data
  • Finalising Data
  • Making the Package Dynamic

Scripting In SSIS

  • Using Visual Studio Tools for Applications (VSTA) Scripting IDE
  • Using the Script Task
  • Using the Script Component
  • Accessing Variables
  • Connecting to Data Sources
  • Raising Events
  • Logging

Advanced Data Cleansing

  • Advanced Derived Column
  • Advanced Fuzzy Lookup and Fuzzy Grouping
  • DQS Cleansing
  • Master Data Management

Reliability and Scalability

  • Restarting Packages: Control flow, containers, checkpoints
  • Package Transactions: single transaction, multiple transactions, multiple packages
  • Error Outputs:
  • Scaling Out: Memory, Staging Data, Parallel Loading

Error and Event Handling

  • Precedence Constraints
  • Event Handling
  • Breakpoints
  • Error Rows
  • Logging

Overview of Programming and Extending SSIS

  • Creating Data Flow Components: Source, Transformation, Destination
  • Creating New Tools for Toolboxes

Administering SSIS

  • Using the SSIS Catalog
  • Deployment Models
  • Using TSQL with SSIS: Using parameters, environments and data taps
  • Creating a Central SSIS Server
  • Clustering SSIS
  • Package Configuration
  • Command-Line Utilities: DTExec, DTExecUI, DTUtil
  • Security
  • Scheduling Packages: SQL Server Agent and Proxy Accounts
  • 64 bit Issues
  • Monitoring Package Execution
  • Performance Counters

New Features in SQL Server SSIS 2016 and 2017

  • Incremental Package Deployment
  • Improved Debugging
  • Reusable Control Flow Templates
  • Support for new data sources: OData, Hadoop File System (HDFS), Excel 2013 and 2016
  • Support for Built-in R Services
  • Analysis Services Tasks for Tabular Models

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