Overview

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

Developed in-house by Lucient, 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.

What Will I Learn?

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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Prerequisites

  • Basic experience in business intelligence solutions and SQL Server
  • No prior experience with SQL Server SSIS is required
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Delegates will learn how to

  • Create and develop new SSIS projects packages.
  • Apply SSIS to file and data management.
  • Loading SSAS dimensions and cubes.
  • Determine when to use projects mode versus.
  • Understand and apply ETL concepts in SSIS.
  • Administer SSIS for sever deployment and production execution.
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Outline

Module 1. 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 2. Data Warehousing

  • Dimensional modeling
  • Optimizing a dimensional database
  • Data preparation for advanced analytics
  • Lab 02: Preparing a DW
  • Module 3. 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 4. 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
  • Module 5. 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 6. 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 7. Data Quality and Cleasing

  • Data quality
  • Data profiling
  • Data Quality Services
  • Fuzzy matching
  • Lab 07: Data Profiling and Cleansing

Module 8. Advanced Enterprise Information Management

  • Script task and Script Component
  • Text mining
  • Advanced Analysis and SSIS
  • Lab 08: Validating Data against Regular Expressions

Module 9. 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

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

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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