COURSE: Accelerated SQL Server 2016 Integration Services


May 13, 2019 – London Enroll here
Aug 5, 2019 – London Enroll here
Nov 4, 2019 – London Enroll here

Design, develop, deploy, and operate SQL Server Integration Services (SSIS) solutions.

In this course you will learn how to create and develop new SSIS projects and package and determine when to use project mode versus, how to apply SSIS to file and data managemen, to understand and apply ETL Concepts in SSIS including dimensions and fact table ETL and loading SSAS dimension and cubes and how to administer SSIS for server deployment and production execution.

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The course will take place in a classroom with no more than 20 students in order to maintain a good level of interactivity.


The course will take place in your company’s facilities. We limit attendance to no more than 20 students in order to maintain a good level of interactivity. Request quote here.

Course Benefits

What does this course cover?

Developed in-house by SolidQ, the Integration Services (SSIS) course focuses on developing and managing SSIS 2016 in the enterprise. In this course, you will understand how to design, develop, deploy, and operate SSIS solutions—this involves ETL solutions (extraction, transformation, and loading) from source systems extractions, data integration, SSIS server administration and package execution.

Who is this course designed for?

  • Database professionals that are responsible for ETL or DBA activities related to data processing, data architecture planning, or SSIS administration
  • IT professionals, DBAs and developers who want to learn the details of how to use SSIS to accomplish data integration, data warehouse loading, and how to administer SSIS through the development lifecycle to production.

Pre-requisites: What do you need to know?

  • Basic experience in business intelligence solutions and SQL Server
  • No prior experience with SQL Server SSIS is required

Expert Mentors

Our instructors have faced in previous real case projects, the same problems you are facing now. Learn from experience professionals.


Interaction and Q&A

In all of our trainings, you will have the chance to ask individual questions and be capable of solving certain issues.

Course Coverage


Create and develop new SSIS projects packages

Understand and apply ETL concepts in SSIS

Determine when to use projects mode versus

Loading SSAS dimensions and cubes

Apply SSIS to file and data management

Administer SSIS for sever deployment and production execution

”He has this rare ability to present a complex matter in a very simple and easy to understand way. Loved him!”


SECTION A: DW and SSIS Overview and SSIS Core Features

Module 01: SSIS Overview and Core Features

  • Introduction to Business Intelligence
  • Microsoft tools for BI
  • Introduction to data integration
  • SSIS features overview

Lab 01: SSIS Overview and Core Features

Module 02: Data Warehousing

  • Dimensional modeling
  • Optimizing a dimensional database
  • Data preparation for advanced analytics

Lab 02:  Preparing a DW

Module 03: SSIS Control Flow Objects and Features

  • What is Control Flow
  • Control Flow Concepts
  • Control Flow Objects
  • Control Flow Features

Lab 03: Using the Control Flow to Orchestrate SSIS Execution

Module 04: Extracting, Transforming and Loading data using SSIS Data Flows

  • The SSIS Data Flow Task
  • Data Flows and Data Paths
  • Data Connections and Connection Managers
  • Data Flow Components

Lab 04: Using Data Flows to Perform Data Movements in SSIS


SECTION B: Applying SSIS to Common Operations

Module 05: Working with Files, Importing and Exporting File Data

  • Using SSIS to Automate File System Maintenance
  • Extracting Data from Files
  • Loading Data into Files
  • Excel Considerations

Lab 05: Working with Files in SSIS


Module 06: Optimizing Data Extraction and Data Loading

  • Data Extraction Optimization Essentials
  • Determining the „Delta“
  • Change Tracking
  • Change Data Capture
  • Data Loading Optimization Essentials

Lab 06: Using Change Data Capture in SSIS Data Flows

Module 07: Data Quality and Cleasing

  • Data quality
  • Data profiling
  • Data Quality Services
  • Fuzzy matching

Lab 07: Data Profiling and Cleansing

Module 08: Advanced Enterprise Information Management

  • Script task and Script Component
  • Text mining
  • Advanced Analysis and SSIS

Lab 08: Validating Data against Regular Expressions

SECTION C: Applying SSIS in BI and Data Warehouse Solutions

Module 09: Dimension ETL with SSIS

  • Dimension ETL Theory
  • SQL Server Temporal Tables
  • SSIS Slowly Changing Dimension Wizard
  • Custom Dimension ETL

Lab 09: Dimension ETL with SSIS

Module 10: Fact ETL with SSIS

  • Fact Table ETL Theory
  • Data preparation for fact tables
  • Advanced concepts

Lab 10: Fact ETL with SSIS

Module 11: Project Deployment Model: Execution and Reporting

  • Power Pivot
  • Power Query

Lab 11: Power Query


Module 12: Processing SSAS Objects in SSIS

  • SSAS tabular and multidimensional
  • Processing methods in SSIS
  • Dynamic processing and partition creation

Lab 12: Analysis Services Processing

SECTION D: Deployment

Module 13: Project Deployment

  • Project Deployment Model
  • Deployment to the SSISDB Catalog
  • Administration, Security, Configuration
  • Execution
  • Monitoring
  • The Master Package Concept

Lab 13: SSIS Project Deployment, Configuration, Execution, and Monitoring

Module 14: Package Deployment

  • Package Deployment Model
  • Deployment to the SSIS package store
  • Administration, Configuration, and Security
  • Execution
  • Monitoring and Logging

Lab 14: SSIS Package Deployment, Configuration, Execution, and Monitoring

SECTION F: SSIS Solution and Performance Considerations

Module 15: Transactions and Restartability

  • Using Breakpoints in SSDT
  • Implementing Transactions in SSIS
  • Using SQL Server Database Snapshots
  • Restartability of SSIS Packages
  • Responding to Events

Lab 15: Using Transactions and Checkpoints in SSIS Packages

Module 16: Optimization and Scalability

  • Leveraging SSIS and Transact-SQL
  • Data Flow Engine Internals
  • SSIS Optimization Techniques
  • SSIS Performance Troubleshooting

Lab 16: Optimizing SSIS Packages for Performance

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